Model save
Browse files- .ipynb_checkpoints/config-checkpoint.json +107 -0
- .ipynb_checkpoints/run-checkpoint.sh +2 -2
- .ipynb_checkpoints/vocab-checkpoint.json +1 -0
- pytorch_model.bin +1 -1
- run.sh +2 -2
- training_args.bin +1 -1
- wandb/debug-internal.log +1 -1
- wandb/debug.log +1 -1
- wandb/latest-run +1 -1
- wandb/run-20220130_224738-2uzt3kt1/files/config.yaml +6 -0
- wandb/run-20220130_224738-2uzt3kt1/files/output.log +7 -0
- wandb/run-20220130_224738-2uzt3kt1/files/wandb-summary.json +1 -1
- wandb/run-20220130_224738-2uzt3kt1/logs/debug-internal.log +116 -0
- wandb/run-20220130_224738-2uzt3kt1/logs/debug.log +122 -0
- wandb/run-20220130_224738-2uzt3kt1/run-2uzt3kt1.wandb +0 -0
- wandb/run-20220130_230018-ktkg6ghu/files/conda-environment.yaml +0 -0
- wandb/run-20220130_230018-ktkg6ghu/files/config.yaml +672 -0
- wandb/run-20220130_230018-ktkg6ghu/files/output.log +17 -0
- wandb/run-20220130_230018-ktkg6ghu/files/requirements.txt +180 -0
- wandb/run-20220130_230018-ktkg6ghu/files/wandb-metadata.json +63 -0
- wandb/run-20220130_230018-ktkg6ghu/files/wandb-summary.json +1 -0
- wandb/run-20220130_230018-ktkg6ghu/logs/debug-internal.log +70 -0
- wandb/run-20220130_230018-ktkg6ghu/logs/debug.log +24 -0
- wandb/run-20220130_230018-ktkg6ghu/run-ktkg6ghu.wandb +0 -0
.ipynb_checkpoints/config-checkpoint.json
ADDED
@@ -0,0 +1,107 @@
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+
{
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+
"_name_or_path": "facebook/wav2vec2-xls-r-300m",
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3 |
+
"activation_dropout": 0.1,
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4 |
+
"adapter_kernel_size": 3,
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5 |
+
"adapter_stride": 2,
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6 |
+
"add_adapter": false,
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7 |
+
"apply_spec_augment": true,
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8 |
+
"architectures": [
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"Wav2Vec2ForCTC"
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+
],
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11 |
+
"attention_dropout": 0.0,
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12 |
+
"bos_token_id": 1,
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13 |
+
"classifier_proj_size": 256,
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14 |
+
"codevector_dim": 768,
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+
"contrastive_logits_temperature": 0.1,
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+
"conv_bias": true,
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+
"conv_dim": [
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+
512,
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+
512,
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+
512,
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+
512,
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+
512,
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512,
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+
512
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],
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"conv_kernel": [
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10,
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3,
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3,
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3,
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3,
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2,
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2
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],
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"conv_stride": [
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5,
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2,
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2,
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2,
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2,
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2,
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2
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],
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"ctc_loss_reduction": "mean",
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"ctc_zero_infinity": false,
|
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+
"diversity_loss_weight": 0.1,
|
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+
"do_stable_layer_norm": true,
|
48 |
+
"eos_token_id": 2,
|
49 |
+
"feat_extract_activation": "gelu",
|
50 |
+
"feat_extract_dropout": 0.0,
|
51 |
+
"feat_extract_norm": "layer",
|
52 |
+
"feat_proj_dropout": 0.0,
|
53 |
+
"feat_quantizer_dropout": 0.0,
|
54 |
+
"final_dropout": 0.0,
|
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+
"hidden_act": "gelu",
|
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+
"hidden_dropout": 0.0,
|
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+
"hidden_size": 1024,
|
58 |
+
"initializer_range": 0.02,
|
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+
"intermediate_size": 4096,
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+
"layer_norm_eps": 1e-05,
|
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+
"layerdrop": 0.0,
|
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+
"mask_feature_length": 64,
|
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+
"mask_feature_min_masks": 0,
|
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+
"mask_feature_prob": 0.25,
|
65 |
+
"mask_time_length": 10,
|
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+
"mask_time_min_masks": 2,
|
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+
"mask_time_prob": 0.75,
|
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+
"model_type": "wav2vec2",
|
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+
"num_adapter_layers": 3,
|
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+
"num_attention_heads": 16,
|
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+
"num_codevector_groups": 2,
|
72 |
+
"num_codevectors_per_group": 320,
|
73 |
+
"num_conv_pos_embedding_groups": 16,
|
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+
"num_conv_pos_embeddings": 128,
|
75 |
+
"num_feat_extract_layers": 7,
|
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+
"num_hidden_layers": 24,
|
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+
"num_negatives": 100,
|
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+
"output_hidden_size": 1024,
|
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+
"pad_token_id": 40,
|
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+
"proj_codevector_dim": 768,
|
81 |
+
"tdnn_dilation": [
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1,
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2,
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3,
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1,
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1
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],
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"tdnn_dim": [
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512,
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512,
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512,
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512,
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1500
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],
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"tdnn_kernel": [
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5,
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3,
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3,
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1,
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1
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],
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"torch_dtype": "float32",
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+
"transformers_version": "4.17.0.dev0",
|
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+
"use_weighted_layer_sum": false,
|
105 |
+
"vocab_size": 41,
|
106 |
+
"xvector_output_dim": 512
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}
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.ipynb_checkpoints/run-checkpoint.sh
CHANGED
@@ -1,4 +1,4 @@
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-
WANDB_PROJECT=xls-r-300-fr
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python run_speech_recognition_ctc.py \
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--activation_dropout="0.1" \
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--dataset_name="mozilla-foundation/common_voice_7_0" \
|
@@ -23,7 +23,7 @@ python run_speech_recognition_ctc.py \
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--max_train_samples="1000" \
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--max_eval_samples="200" \
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--model_name_or_path="facebook/wav2vec2-xls-r-300m" \
|
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-
--num_train_epochs="0.
|
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--output_dir="./" \
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--overwrite_output_dir \
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--per_device_train_batch_size="8" \
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1 |
+
export WANDB_PROJECT="xls-r-300-fr"
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python run_speech_recognition_ctc.py \
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--activation_dropout="0.1" \
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--dataset_name="mozilla-foundation/common_voice_7_0" \
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--max_train_samples="1000" \
|
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--max_eval_samples="200" \
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--model_name_or_path="facebook/wav2vec2-xls-r-300m" \
|
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+
--num_train_epochs="0.4" \
|
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--output_dir="./" \
|
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--overwrite_output_dir \
|
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--per_device_train_batch_size="8" \
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.ipynb_checkpoints/vocab-checkpoint.json
ADDED
@@ -0,0 +1 @@
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+
{"'": 1, "a": 2, "b": 3, "c": 4, "d": 5, "e": 6, "f": 7, "g": 8, "h": 9, "i": 10, "j": 11, "k": 12, "l": 13, "m": 14, "n": 15, "o": 16, "p": 17, "q": 18, "r": 19, "s": 20, "t": 21, "u": 22, "v": 23, "w": 24, "x": 25, "y": 26, "z": 27, "à": 28, "â": 29, "ç": 30, "è": 31, "é": 32, "ê": 33, "î": 34, "ï": 35, "ô": 36, "ù": 37, "û": 38, "|": 0, "[UNK]": 39, "[PAD]": 40}
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pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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3 |
size 1262091761
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version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:d1d7bd7ffd2ed6a01faf9f143c79eb1c4a1e163dd1a62f92c26af28850511bcd
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size 1262091761
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run.sh
CHANGED
@@ -1,4 +1,4 @@
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-
WANDB_PROJECT=xls-r-300-fr
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python run_speech_recognition_ctc.py \
|
3 |
--activation_dropout="0.1" \
|
4 |
--dataset_name="mozilla-foundation/common_voice_7_0" \
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@@ -23,7 +23,7 @@ python run_speech_recognition_ctc.py \
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--max_train_samples="1000" \
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--max_eval_samples="200" \
|
25 |
--model_name_or_path="facebook/wav2vec2-xls-r-300m" \
|
26 |
-
--num_train_epochs="0.
|
27 |
--output_dir="./" \
|
28 |
--overwrite_output_dir \
|
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--per_device_train_batch_size="8" \
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1 |
+
export WANDB_PROJECT="xls-r-300-fr"
|
2 |
python run_speech_recognition_ctc.py \
|
3 |
--activation_dropout="0.1" \
|
4 |
--dataset_name="mozilla-foundation/common_voice_7_0" \
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|
23 |
--max_train_samples="1000" \
|
24 |
--max_eval_samples="200" \
|
25 |
--model_name_or_path="facebook/wav2vec2-xls-r-300m" \
|
26 |
+
--num_train_epochs="0.4" \
|
27 |
--output_dir="./" \
|
28 |
--overwrite_output_dir \
|
29 |
--per_device_train_batch_size="8" \
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training_args.bin
CHANGED
@@ -1,3 +1,3 @@
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1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 2991
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1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a4f6b5e530f353910710ef95150e349ddf6f70545b8095619803d7da46090983
|
3 |
size 2991
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wandb/debug-internal.log
CHANGED
@@ -1 +1 @@
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1 |
-
run-
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+
run-20220130_230018-ktkg6ghu/logs/debug-internal.log
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wandb/debug.log
CHANGED
@@ -1 +1 @@
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1 |
-
run-
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1 |
+
run-20220130_230018-ktkg6ghu/logs/debug.log
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wandb/latest-run
CHANGED
@@ -1 +1 @@
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1 |
-
run-
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1 |
+
run-20220130_230018-ktkg6ghu
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wandb/run-20220130_224738-2uzt3kt1/files/config.yaml
CHANGED
@@ -69,7 +69,13 @@ _wandb:
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- 1
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- 5
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- 11
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3:
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- 13
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4: 3.8.8
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5: 0.12.9
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- 1
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- 5
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- 11
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2:
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- 1
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- 5
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- 11
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3:
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- 1
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- 7
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- 13
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4: 3.8.8
|
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5: 0.12.9
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wandb/run-20220130_224738-2uzt3kt1/files/output.log
CHANGED
@@ -57,3 +57,10 @@ Configuration saved in ./preprocessor_config.json
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57 |
01/30/2022 22:49:41 - WARNING - huggingface_hub.repository - To https://huggingface.co/Plim/xls-r-300m-fr
|
58 |
77260d3..45cb5d4 main -> main
|
59 |
To https://huggingface.co/Plim/xls-r-300m-fr
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|
57 |
01/30/2022 22:49:41 - WARNING - huggingface_hub.repository - To https://huggingface.co/Plim/xls-r-300m-fr
|
58 |
77260d3..45cb5d4 main -> main
|
59 |
To https://huggingface.co/Plim/xls-r-300m-fr
|
60 |
+
77260d3..45cb5d4 main -> main
|
61 |
+
Dropping the following result as it does not have all the necessary fields:
|
62 |
+
{}
|
63 |
+
01/30/2022 22:49:47 - WARNING - huggingface_hub.repository - To https://huggingface.co/Plim/xls-r-300m-fr
|
64 |
+
45cb5d4..1fb68dc main -> main
|
65 |
+
To https://huggingface.co/Plim/xls-r-300m-fr
|
66 |
+
45cb5d4..1fb68dc main -> main
|
wandb/run-20220130_224738-2uzt3kt1/files/wandb-summary.json
CHANGED
@@ -1 +1 @@
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|
1 |
-
{"train/train_runtime": 12.893, "train/train_samples_per_second": 15.512, "train/train_steps_per_second": 0.233, "train/total_flos": 2.67196543170048e+16, "train/train_loss": 12.496875762939453, "train/epoch": 0.19, "train/global_step": 3, "_runtime": 100, "_timestamp": 1643582958, "_step": 1, "eval/loss": 16.913198471069336, "eval/wer": 2.3629935179728934, "eval/runtime": 8.6705, "eval/samples_per_second": 23.067, "eval/steps_per_second": 2.883}
|
|
|
1 |
+
{"train/train_runtime": 12.893, "train/train_samples_per_second": 15.512, "train/train_steps_per_second": 0.233, "train/total_flos": 2.67196543170048e+16, "train/train_loss": 12.496875762939453, "train/epoch": 0.19, "train/global_step": 3, "_runtime": 100, "_timestamp": 1643582958, "_step": 1, "eval/loss": 16.913198471069336, "eval/wer": 2.3629935179728934, "eval/runtime": 8.6705, "eval/samples_per_second": 23.067, "eval/steps_per_second": 2.883, "_wandb": {"runtime": 133}}
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wandb/run-20220130_224738-2uzt3kt1/logs/debug-internal.log
CHANGED
@@ -92,3 +92,119 @@
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92 |
2022-01-30 22:49:41,814 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: stop_status
|
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2022-01-30 22:49:42,687 INFO Thread-8 :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/config.yaml
|
94 |
2022-01-30 22:49:42,688 INFO Thread-8 :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
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2022-01-30 22:49:41,814 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: stop_status
|
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2022-01-30 22:49:42,687 INFO Thread-8 :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/config.yaml
|
94 |
2022-01-30 22:49:42,688 INFO Thread-8 :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
|
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+
2022-01-30 22:49:46,690 INFO Thread-8 :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
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+
2022-01-30 22:49:48,691 INFO Thread-8 :23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
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+
2022-01-30 22:49:52,753 DEBUG SenderThread:23196 [sender.py:send():234] send: telemetry
|
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+
2022-01-30 22:49:52,754 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
|
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+
2022-01-30 22:49:52,755 DEBUG SenderThread:23196 [sender.py:send():234] send: exit
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2022-01-30 22:49:52,755 INFO SenderThread:23196 [sender.py:send_exit():366] handling exit code: 0
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2022-01-30 22:49:52,756 INFO SenderThread:23196 [sender.py:send_exit():368] handling runtime: 133
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2022-01-30 22:49:52,757 INFO SenderThread:23196 [sender.py:_save_file():939] saving file wandb-summary.json with policy end
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2022-01-30 22:49:52,757 INFO SenderThread:23196 [sender.py:send_exit():374] send defer
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2022-01-30 22:49:52,757 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
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2022-01-30 22:49:52,759 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: defer
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2022-01-30 22:49:52,759 INFO HandlerThread:23196 [handler.py:handle_request_defer():147] handle defer: 0
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2022-01-30 22:49:52,759 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: defer
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2022-01-30 22:49:52,759 INFO SenderThread:23196 [sender.py:send_request_defer():383] handle sender defer: 0
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2022-01-30 22:49:52,760 INFO SenderThread:23196 [sender.py:transition_state():387] send defer: 1
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2022-01-30 22:49:52,760 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: defer
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2022-01-30 22:49:52,760 INFO HandlerThread:23196 [handler.py:handle_request_defer():147] handle defer: 1
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2022-01-30 22:49:52,860 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: defer
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2022-01-30 22:49:52,860 INFO SenderThread:23196 [sender.py:send_request_defer():383] handle sender defer: 1
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2022-01-30 22:49:52,860 INFO SenderThread:23196 [sender.py:transition_state():387] send defer: 2
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2022-01-30 22:49:52,862 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
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2022-01-30 22:49:52,862 DEBUG SenderThread:23196 [sender.py:send():234] send: stats
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2022-01-30 22:49:52,863 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
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2022-01-30 22:49:52,864 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: defer
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2022-01-30 22:49:52,864 INFO HandlerThread:23196 [handler.py:handle_request_defer():147] handle defer: 2
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2022-01-30 22:49:52,865 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: defer
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2022-01-30 22:49:52,865 INFO SenderThread:23196 [sender.py:send_request_defer():383] handle sender defer: 2
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2022-01-30 22:49:52,865 INFO SenderThread:23196 [sender.py:transition_state():387] send defer: 3
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2022-01-30 22:49:52,866 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: defer
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2022-01-30 22:49:52,866 INFO HandlerThread:23196 [handler.py:handle_request_defer():147] handle defer: 3
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2022-01-30 22:49:52,869 DEBUG SenderThread:23196 [sender.py:send():234] send: summary
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2022-01-30 22:49:52,870 INFO SenderThread:23196 [sender.py:_save_file():939] saving file wandb-summary.json with policy end
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2022-01-30 22:49:52,870 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: defer
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2022-01-30 22:49:52,871 INFO SenderThread:23196 [sender.py:send_request_defer():383] handle sender defer: 3
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2022-01-30 22:49:52,871 INFO SenderThread:23196 [sender.py:transition_state():387] send defer: 4
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2022-01-30 22:49:52,871 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: defer
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2022-01-30 22:49:52,872 INFO HandlerThread:23196 [handler.py:handle_request_defer():147] handle defer: 4
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2022-01-30 22:49:52,872 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: defer
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2022-01-30 22:49:52,872 INFO SenderThread:23196 [sender.py:send_request_defer():383] handle sender defer: 4
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2022-01-30 22:49:52,966 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
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2022-01-30 22:49:53,114 INFO SenderThread:23196 [sender.py:transition_state():387] send defer: 5
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2022-01-30 22:49:53,114 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
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2022-01-30 22:49:53,116 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: defer
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2022-01-30 22:49:53,116 INFO HandlerThread:23196 [handler.py:handle_request_defer():147] handle defer: 5
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2022-01-30 22:49:53,116 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: defer
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2022-01-30 22:49:53,116 INFO SenderThread:23196 [sender.py:send_request_defer():383] handle sender defer: 5
|
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2022-01-30 22:49:53,116 INFO SenderThread:23196 [dir_watcher.py:finish():283] shutting down directory watcher
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2022-01-30 22:49:53,218 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
|
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2022-01-30 22:49:53,695 INFO SenderThread:23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/config.yaml
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2022-01-30 22:49:53,696 INFO SenderThread:23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
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2022-01-30 22:49:53,696 INFO SenderThread:23196 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/wandb-summary.json
|
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2022-01-30 22:49:53,697 INFO SenderThread:23196 [dir_watcher.py:finish():313] scan: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files
|
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2022-01-30 22:49:53,697 INFO SenderThread:23196 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/conda-environment.yaml conda-environment.yaml
|
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2022-01-30 22:49:53,698 INFO SenderThread:23196 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/wandb-metadata.json wandb-metadata.json
|
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2022-01-30 22:49:53,698 INFO SenderThread:23196 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log output.log
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2022-01-30 22:49:53,698 INFO SenderThread:23196 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/requirements.txt requirements.txt
|
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2022-01-30 22:49:53,699 INFO SenderThread:23196 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/config.yaml config.yaml
|
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2022-01-30 22:49:53,700 INFO SenderThread:23196 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/wandb-summary.json wandb-summary.json
|
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2022-01-30 22:49:53,700 INFO SenderThread:23196 [sender.py:transition_state():387] send defer: 6
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2022-01-30 22:49:53,701 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
|
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2022-01-30 22:49:53,713 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: defer
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2022-01-30 22:49:53,720 INFO HandlerThread:23196 [handler.py:handle_request_defer():147] handle defer: 6
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2022-01-30 22:49:53,724 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: defer
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2022-01-30 22:49:53,729 INFO SenderThread:23196 [sender.py:send_request_defer():383] handle sender defer: 6
|
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2022-01-30 22:49:53,729 INFO SenderThread:23196 [file_pusher.py:finish():177] shutting down file pusher
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2022-01-30 22:49:53,804 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
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2022-01-30 22:49:53,804 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
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2022-01-30 22:49:53,909 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
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2022-01-30 22:49:53,910 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
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2022-01-30 22:49:54,015 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
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2022-01-30 22:49:54,016 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
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2022-01-30 22:49:54,119 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
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2022-01-30 22:49:54,119 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
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2022-01-30 22:49:54,223 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
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2022-01-30 22:49:54,223 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
|
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2022-01-30 22:49:54,253 INFO Thread-14 :23196 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/config.yaml
|
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2022-01-30 22:49:54,257 INFO Thread-13 :23196 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/requirements.txt
|
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2022-01-30 22:49:54,291 INFO Thread-15 :23196 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/wandb-summary.json
|
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2022-01-30 22:49:54,327 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
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2022-01-30 22:49:54,327 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
|
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2022-01-30 22:49:54,339 INFO Thread-12 :23196 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/files/output.log
|
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2022-01-30 22:49:54,431 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
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2022-01-30 22:49:54,431 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
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2022-01-30 22:49:54,534 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
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2022-01-30 22:49:54,535 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
|
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2022-01-30 22:49:54,540 INFO Thread-7 :23196 [sender.py:transition_state():387] send defer: 7
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2022-01-30 22:49:54,541 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: defer
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2022-01-30 22:49:54,541 INFO HandlerThread:23196 [handler.py:handle_request_defer():147] handle defer: 7
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2022-01-30 22:49:54,542 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: defer
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2022-01-30 22:49:54,542 INFO SenderThread:23196 [sender.py:send_request_defer():383] handle sender defer: 7
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2022-01-30 22:49:54,638 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
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2022-01-30 22:49:56,342 INFO SenderThread:23196 [sender.py:transition_state():387] send defer: 8
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2022-01-30 22:49:56,343 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
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2022-01-30 22:49:56,344 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: defer
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2022-01-30 22:49:56,345 INFO HandlerThread:23196 [handler.py:handle_request_defer():147] handle defer: 8
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2022-01-30 22:49:56,345 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: defer
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2022-01-30 22:49:56,345 INFO SenderThread:23196 [sender.py:send_request_defer():383] handle sender defer: 8
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2022-01-30 22:49:56,346 INFO SenderThread:23196 [sender.py:transition_state():387] send defer: 9
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2022-01-30 22:49:56,347 DEBUG SenderThread:23196 [sender.py:send():234] send: final
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2022-01-30 22:49:56,348 DEBUG SenderThread:23196 [sender.py:send():234] send: footer
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2022-01-30 22:49:56,348 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: defer
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2022-01-30 22:49:56,348 INFO HandlerThread:23196 [handler.py:handle_request_defer():147] handle defer: 9
|
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2022-01-30 22:49:56,349 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: defer
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2022-01-30 22:49:56,349 INFO SenderThread:23196 [sender.py:send_request_defer():383] handle sender defer: 9
|
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2022-01-30 22:49:56,447 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: poll_exit
|
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2022-01-30 22:49:56,447 DEBUG SenderThread:23196 [sender.py:send_request():248] send_request: poll_exit
|
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2022-01-30 22:49:56,448 INFO SenderThread:23196 [file_pusher.py:join():182] waiting for file pusher
|
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2022-01-30 22:49:56,761 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: get_summary
|
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2022-01-30 22:49:56,763 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: sampled_history
|
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2022-01-30 22:49:56,766 DEBUG HandlerThread:23196 [handler.py:handle_request():130] handle_request: shutdown
|
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2022-01-30 22:49:56,766 INFO HandlerThread:23196 [handler.py:finish():731] shutting down handler
|
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2022-01-30 22:49:57,348 INFO WriterThread:23196 [datastore.py:close():281] close: /workspace/xls-r-300m-fr/wandb/run-20220130_224738-2uzt3kt1/run-2uzt3kt1.wandb
|
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2022-01-30 22:49:57,758 INFO SenderThread:23196 [sender.py:finish():1070] shutting down sender
|
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2022-01-30 22:49:57,759 INFO SenderThread:23196 [file_pusher.py:finish():177] shutting down file pusher
|
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2022-01-30 22:49:57,759 INFO SenderThread:23196 [file_pusher.py:join():182] waiting for file pusher
|
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2022-01-30 22:49:57,763 INFO MainThread:23196 [internal.py:handle_exit():77] Internal process exited
|
wandb/run-20220130_224738-2uzt3kt1/logs/debug.log
CHANGED
@@ -22,3 +22,125 @@ config: {}
|
|
22 |
2022-01-30 22:47:40,203 INFO MainThread:22602 [wandb_init.py:init():633] run started, returning control to user process
|
23 |
2022-01-30 22:47:40,206 INFO MainThread:22602 [wandb_run.py:_config_callback():956] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'architectures': ['Wav2Vec2ForPreTraining'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 40, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'facebook/wav2vec2-xls-r-300m', 'transformers_version': '4.17.0.dev0', 'feat_extract_dropout': 0.0, 'model_type': 'wav2vec2', 'num_feat_extract_layers': 7, 'hidden_size': 1024, 'feat_extract_norm': 'layer', 'feat_extract_activation': 'gelu', 'conv_dim': [512, 512, 512, 512, 512, 512, 512], 'conv_stride': [5, 2, 2, 2, 2, 2, 2], 'conv_kernel': [10, 3, 3, 3, 3, 2, 2], 'conv_bias': True, 'num_conv_pos_embeddings': 128, 'num_conv_pos_embedding_groups': 16, 'num_hidden_layers': 24, 'intermediate_size': 4096, 'hidden_act': 'gelu', 'num_attention_heads': 16, 'hidden_dropout': 0.0, 'attention_dropout': 0.0, 'activation_dropout': 0.1, 'feat_proj_dropout': 0.0, 'final_dropout': 0.0, 'layerdrop': 0.0, 'layer_norm_eps': 1e-05, 'initializer_range': 0.02, 'vocab_size': 41, 'do_stable_layer_norm': True, 'use_weighted_layer_sum': False, 'apply_spec_augment': True, 'mask_time_prob': 0.75, 'mask_time_length': 10, 'mask_time_min_masks': 2, 'mask_feature_prob': 0.25, 'mask_feature_length': 64, 'mask_feature_min_masks': 0, 'num_codevectors_per_group': 320, 'num_codevector_groups': 2, 'contrastive_logits_temperature': 0.1, 'feat_quantizer_dropout': 0.0, 'num_negatives': 100, 'codevector_dim': 768, 'proj_codevector_dim': 768, 'diversity_loss_weight': 0.1, 'ctc_loss_reduction': 'mean', 'ctc_zero_infinity': False, 'add_adapter': False, 'adapter_kernel_size': 3, 'adapter_stride': 2, 'num_adapter_layers': 3, 'output_hidden_size': 1024, 'classifier_proj_size': 256, 'tdnn_dim': [512, 512, 512, 512, 1500], 'tdnn_kernel': [5, 3, 3, 1, 1], 'tdnn_dilation': [1, 2, 3, 1, 1], 'xvector_output_dim': 512, 'output_dir': './', 'overwrite_output_dir': True, 'do_train': True, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 8, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': 'None', 'per_gpu_eval_batch_size': 'None', 'gradient_accumulation_steps': 8, 'eval_accumulation_steps': 'None', 'learning_rate': 7.5e-05, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 0.2, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'warmup_ratio': 0.0, 'warmup_steps': 2000, 'log_level': -1, 'log_level_replica': -1, 'log_on_each_node': True, 'logging_dir': './runs/Jan30_22-46-41_job-3261699b-76eb-4c28-8419-66a66c5c9199', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 100, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': 3, 'save_on_each_node': False, 'no_cuda': False, 'seed': 42, 'bf16': False, 'fp16': True, 'fp16_opt_level': 'O1', 'half_precision_backend': 'amp', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': 'None', 'local_rank': -1, 'xpu_backend': 'None', 'tpu_num_cores': 'None', 'tpu_metrics_debug': False, 'debug': '[]', 'dataloader_drop_last': False, 'eval_steps': 500, 'dataloader_num_workers': 0, 'past_index': -1, 'run_name': './', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': 'None', 'load_best_model_at_end': True, 'metric_for_best_model': 'loss', 'greater_is_better': False, 'ignore_data_skip': False, 'sharded_ddp': '[]', 'deepspeed': 'None', 'label_smoothing_factor': 0.0, 'optim': 'adamw_hf', 'adafactor': False, 'group_by_length': True, 'length_column_name': 'input_length', 'report_to': "['wandb']", 'ddp_find_unused_parameters': 'None', 'ddp_bucket_cap_mb': 'None', 'dataloader_pin_memory': True, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': 'None', 'hub_model_id': 'None', 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'gradient_checkpointing': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': 'None', 'push_to_hub_organization': 'None', 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', '_n_gpu': 1, 'mp_parameters': '', 'train_batch_size': 8, 'eval_batch_size': 8}
|
24 |
2022-01-30 22:47:40,212 INFO MainThread:22602 [wandb_watch.py:watch():43] Watching
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22 |
2022-01-30 22:47:40,203 INFO MainThread:22602 [wandb_init.py:init():633] run started, returning control to user process
|
23 |
2022-01-30 22:47:40,206 INFO MainThread:22602 [wandb_run.py:_config_callback():956] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'architectures': ['Wav2Vec2ForPreTraining'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 40, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'facebook/wav2vec2-xls-r-300m', 'transformers_version': '4.17.0.dev0', 'feat_extract_dropout': 0.0, 'model_type': 'wav2vec2', 'num_feat_extract_layers': 7, 'hidden_size': 1024, 'feat_extract_norm': 'layer', 'feat_extract_activation': 'gelu', 'conv_dim': [512, 512, 512, 512, 512, 512, 512], 'conv_stride': [5, 2, 2, 2, 2, 2, 2], 'conv_kernel': [10, 3, 3, 3, 3, 2, 2], 'conv_bias': True, 'num_conv_pos_embeddings': 128, 'num_conv_pos_embedding_groups': 16, 'num_hidden_layers': 24, 'intermediate_size': 4096, 'hidden_act': 'gelu', 'num_attention_heads': 16, 'hidden_dropout': 0.0, 'attention_dropout': 0.0, 'activation_dropout': 0.1, 'feat_proj_dropout': 0.0, 'final_dropout': 0.0, 'layerdrop': 0.0, 'layer_norm_eps': 1e-05, 'initializer_range': 0.02, 'vocab_size': 41, 'do_stable_layer_norm': True, 'use_weighted_layer_sum': False, 'apply_spec_augment': True, 'mask_time_prob': 0.75, 'mask_time_length': 10, 'mask_time_min_masks': 2, 'mask_feature_prob': 0.25, 'mask_feature_length': 64, 'mask_feature_min_masks': 0, 'num_codevectors_per_group': 320, 'num_codevector_groups': 2, 'contrastive_logits_temperature': 0.1, 'feat_quantizer_dropout': 0.0, 'num_negatives': 100, 'codevector_dim': 768, 'proj_codevector_dim': 768, 'diversity_loss_weight': 0.1, 'ctc_loss_reduction': 'mean', 'ctc_zero_infinity': False, 'add_adapter': False, 'adapter_kernel_size': 3, 'adapter_stride': 2, 'num_adapter_layers': 3, 'output_hidden_size': 1024, 'classifier_proj_size': 256, 'tdnn_dim': [512, 512, 512, 512, 1500], 'tdnn_kernel': [5, 3, 3, 1, 1], 'tdnn_dilation': [1, 2, 3, 1, 1], 'xvector_output_dim': 512, 'output_dir': './', 'overwrite_output_dir': True, 'do_train': True, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 8, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': 'None', 'per_gpu_eval_batch_size': 'None', 'gradient_accumulation_steps': 8, 'eval_accumulation_steps': 'None', 'learning_rate': 7.5e-05, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 0.2, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'warmup_ratio': 0.0, 'warmup_steps': 2000, 'log_level': -1, 'log_level_replica': -1, 'log_on_each_node': True, 'logging_dir': './runs/Jan30_22-46-41_job-3261699b-76eb-4c28-8419-66a66c5c9199', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 100, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': 3, 'save_on_each_node': False, 'no_cuda': False, 'seed': 42, 'bf16': False, 'fp16': True, 'fp16_opt_level': 'O1', 'half_precision_backend': 'amp', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': 'None', 'local_rank': -1, 'xpu_backend': 'None', 'tpu_num_cores': 'None', 'tpu_metrics_debug': False, 'debug': '[]', 'dataloader_drop_last': False, 'eval_steps': 500, 'dataloader_num_workers': 0, 'past_index': -1, 'run_name': './', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': 'None', 'load_best_model_at_end': True, 'metric_for_best_model': 'loss', 'greater_is_better': False, 'ignore_data_skip': False, 'sharded_ddp': '[]', 'deepspeed': 'None', 'label_smoothing_factor': 0.0, 'optim': 'adamw_hf', 'adafactor': False, 'group_by_length': True, 'length_column_name': 'input_length', 'report_to': "['wandb']", 'ddp_find_unused_parameters': 'None', 'ddp_bucket_cap_mb': 'None', 'dataloader_pin_memory': True, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': 'None', 'hub_model_id': 'None', 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'gradient_checkpointing': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': 'None', 'push_to_hub_organization': 'None', 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', '_n_gpu': 1, 'mp_parameters': '', 'train_batch_size': 8, 'eval_batch_size': 8}
|
24 |
2022-01-30 22:47:40,212 INFO MainThread:22602 [wandb_watch.py:watch():43] Watching
|
25 |
+
2022-01-30 22:49:50,144 INFO MainThread:22602 [wandb_run.py:_atexit_cleanup():1780] got exitcode: 0
|
26 |
+
2022-01-30 22:49:50,148 INFO MainThread:22602 [wandb_run.py:_restore():1752] restore
|
27 |
+
2022-01-30 22:49:52,759 INFO MainThread:22602 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
|
28 |
+
wandb_count: 1
|
29 |
+
}
|
30 |
+
pusher_stats {
|
31 |
+
uploaded_bytes: 2099
|
32 |
+
total_bytes: 2099
|
33 |
+
}
|
34 |
+
|
35 |
+
2022-01-30 22:49:52,864 INFO MainThread:22602 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
|
36 |
+
wandb_count: 1
|
37 |
+
}
|
38 |
+
pusher_stats {
|
39 |
+
uploaded_bytes: 2099
|
40 |
+
total_bytes: 2099
|
41 |
+
}
|
42 |
+
|
43 |
+
2022-01-30 22:49:53,116 INFO MainThread:22602 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
|
44 |
+
wandb_count: 1
|
45 |
+
}
|
46 |
+
pusher_stats {
|
47 |
+
uploaded_bytes: 2099
|
48 |
+
total_bytes: 2099
|
49 |
+
}
|
50 |
+
|
51 |
+
2022-01-30 22:49:53,702 INFO MainThread:22602 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
|
52 |
+
wandb_count: 4
|
53 |
+
}
|
54 |
+
pusher_stats {
|
55 |
+
uploaded_bytes: 2099
|
56 |
+
total_bytes: 21650
|
57 |
+
}
|
58 |
+
|
59 |
+
2022-01-30 22:49:53,806 INFO MainThread:22602 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
|
60 |
+
wandb_count: 5
|
61 |
+
}
|
62 |
+
pusher_stats {
|
63 |
+
uploaded_bytes: 2099
|
64 |
+
total_bytes: 22128
|
65 |
+
}
|
66 |
+
|
67 |
+
2022-01-30 22:49:53,914 INFO MainThread:22602 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
|
68 |
+
wandb_count: 5
|
69 |
+
}
|
70 |
+
pusher_stats {
|
71 |
+
uploaded_bytes: 2099
|
72 |
+
total_bytes: 22128
|
73 |
+
}
|
74 |
+
|
75 |
+
2022-01-30 22:49:54,017 INFO MainThread:22602 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
|
76 |
+
wandb_count: 5
|
77 |
+
}
|
78 |
+
pusher_stats {
|
79 |
+
uploaded_bytes: 22128
|
80 |
+
total_bytes: 22128
|
81 |
+
}
|
82 |
+
|
83 |
+
2022-01-30 22:49:54,121 INFO MainThread:22602 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
|
84 |
+
wandb_count: 5
|
85 |
+
}
|
86 |
+
pusher_stats {
|
87 |
+
uploaded_bytes: 22128
|
88 |
+
total_bytes: 22128
|
89 |
+
}
|
90 |
+
|
91 |
+
2022-01-30 22:49:54,225 INFO MainThread:22602 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
|
92 |
+
wandb_count: 5
|
93 |
+
}
|
94 |
+
pusher_stats {
|
95 |
+
uploaded_bytes: 22128
|
96 |
+
total_bytes: 22128
|
97 |
+
}
|
98 |
+
|
99 |
+
2022-01-30 22:49:54,329 INFO MainThread:22602 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
|
100 |
+
wandb_count: 5
|
101 |
+
}
|
102 |
+
pusher_stats {
|
103 |
+
uploaded_bytes: 22128
|
104 |
+
total_bytes: 22128
|
105 |
+
}
|
106 |
+
|
107 |
+
2022-01-30 22:49:54,433 INFO MainThread:22602 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
|
108 |
+
wandb_count: 5
|
109 |
+
}
|
110 |
+
pusher_stats {
|
111 |
+
uploaded_bytes: 22128
|
112 |
+
total_bytes: 22128
|
113 |
+
}
|
114 |
+
|
115 |
+
2022-01-30 22:49:54,537 INFO MainThread:22602 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
|
116 |
+
wandb_count: 5
|
117 |
+
}
|
118 |
+
pusher_stats {
|
119 |
+
uploaded_bytes: 22128
|
120 |
+
total_bytes: 22128
|
121 |
+
}
|
122 |
+
|
123 |
+
2022-01-30 22:49:56,345 INFO MainThread:22602 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
|
124 |
+
wandb_count: 5
|
125 |
+
}
|
126 |
+
pusher_stats {
|
127 |
+
uploaded_bytes: 22128
|
128 |
+
total_bytes: 22128
|
129 |
+
}
|
130 |
+
|
131 |
+
2022-01-30 22:49:56,759 INFO MainThread:22602 [wandb_run.py:_wait_for_finish():1912] got exit ret: done: true
|
132 |
+
exit_result {
|
133 |
+
}
|
134 |
+
file_counts {
|
135 |
+
wandb_count: 5
|
136 |
+
}
|
137 |
+
pusher_stats {
|
138 |
+
uploaded_bytes: 22128
|
139 |
+
total_bytes: 22128
|
140 |
+
}
|
141 |
+
local_info {
|
142 |
+
}
|
143 |
+
|
144 |
+
2022-01-30 22:49:57,908 INFO MainThread:22602 [wandb_run.py:_append_history():2130] rendering history
|
145 |
+
2022-01-30 22:49:57,909 INFO MainThread:22602 [wandb_run.py:_append_summary():2085] rendering summary
|
146 |
+
2022-01-30 22:49:57,909 INFO MainThread:22602 [wandb_run.py:_append_files():2180] logging synced files
|
wandb/run-20220130_224738-2uzt3kt1/run-2uzt3kt1.wandb
CHANGED
Binary files a/wandb/run-20220130_224738-2uzt3kt1/run-2uzt3kt1.wandb and b/wandb/run-20220130_224738-2uzt3kt1/run-2uzt3kt1.wandb differ
|
|
wandb/run-20220130_230018-ktkg6ghu/files/conda-environment.yaml
ADDED
File without changes
|
wandb/run-20220130_230018-ktkg6ghu/files/config.yaml
ADDED
@@ -0,0 +1,672 @@
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|
1 |
+
wandb_version: 1
|
2 |
+
|
3 |
+
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|
4 |
+
desc: null
|
5 |
+
value: 1
|
6 |
+
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|
7 |
+
desc: null
|
8 |
+
value: facebook/wav2vec2-xls-r-300m
|
9 |
+
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|
10 |
+
desc: null
|
11 |
+
value:
|
12 |
+
cli_version: 0.12.9
|
13 |
+
framework: huggingface
|
14 |
+
huggingface_version: 4.17.0.dev0
|
15 |
+
is_jupyter_run: false
|
16 |
+
is_kaggle_kernel: false
|
17 |
+
m:
|
18 |
+
- 1: train/global_step
|
19 |
+
6:
|
20 |
+
- 3
|
21 |
+
- 1: train/train_runtime
|
22 |
+
5: 1
|
23 |
+
6:
|
24 |
+
- 1
|
25 |
+
- 1: train/train_samples_per_second
|
26 |
+
5: 1
|
27 |
+
6:
|
28 |
+
- 1
|
29 |
+
- 1: train/train_steps_per_second
|
30 |
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5: 1
|
31 |
+
6:
|
32 |
+
- 1
|
33 |
+
- 1: train/total_flos
|
34 |
+
5: 1
|
35 |
+
6:
|
36 |
+
- 1
|
37 |
+
- 1: train/train_loss
|
38 |
+
5: 1
|
39 |
+
6:
|
40 |
+
- 1
|
41 |
+
- 1: train/epoch
|
42 |
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5: 1
|
43 |
+
6:
|
44 |
+
- 1
|
45 |
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python_version: 3.8.8
|
46 |
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start_time: 1643583619
|
47 |
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t:
|
48 |
+
1:
|
49 |
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- 1
|
50 |
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- 5
|
51 |
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- 11
|
52 |
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3:
|
53 |
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- 13
|
54 |
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4: 3.8.8
|
55 |
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5: 0.12.9
|
56 |
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6: 4.17.0.dev0
|
57 |
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8:
|
58 |
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- 5
|
59 |
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activation_dropout:
|
60 |
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desc: null
|
61 |
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value: 0.1
|
62 |
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adafactor:
|
63 |
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desc: null
|
64 |
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value: false
|
65 |
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adam_beta1:
|
66 |
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desc: null
|
67 |
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value: 0.9
|
68 |
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adam_beta2:
|
69 |
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desc: null
|
70 |
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value: 0.999
|
71 |
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adam_epsilon:
|
72 |
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desc: null
|
73 |
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value: 1.0e-08
|
74 |
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adapter_kernel_size:
|
75 |
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desc: null
|
76 |
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value: 3
|
77 |
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adapter_stride:
|
78 |
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desc: null
|
79 |
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value: 2
|
80 |
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add_adapter:
|
81 |
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desc: null
|
82 |
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value: false
|
83 |
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add_cross_attention:
|
84 |
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desc: null
|
85 |
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value: false
|
86 |
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apply_spec_augment:
|
87 |
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desc: null
|
88 |
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value: true
|
89 |
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architectures:
|
90 |
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desc: null
|
91 |
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value:
|
92 |
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- Wav2Vec2ForPreTraining
|
93 |
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attention_dropout:
|
94 |
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desc: null
|
95 |
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value: 0.0
|
96 |
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bad_words_ids:
|
97 |
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desc: null
|
98 |
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value: null
|
99 |
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bf16:
|
100 |
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desc: null
|
101 |
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value: false
|
102 |
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bf16_full_eval:
|
103 |
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desc: null
|
104 |
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value: false
|
105 |
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bos_token_id:
|
106 |
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desc: null
|
107 |
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value: 1
|
108 |
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chunk_size_feed_forward:
|
109 |
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desc: null
|
110 |
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value: 0
|
111 |
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classifier_proj_size:
|
112 |
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desc: null
|
113 |
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value: 256
|
114 |
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codevector_dim:
|
115 |
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desc: null
|
116 |
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value: 768
|
117 |
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contrastive_logits_temperature:
|
118 |
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desc: null
|
119 |
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value: 0.1
|
120 |
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conv_bias:
|
121 |
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desc: null
|
122 |
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value: true
|
123 |
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conv_dim:
|
124 |
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desc: null
|
125 |
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value:
|
126 |
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|
127 |
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|
128 |
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|
129 |
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- 512
|
130 |
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|
131 |
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|
132 |
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|
133 |
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conv_kernel:
|
134 |
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desc: null
|
135 |
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value:
|
136 |
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|
137 |
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|
138 |
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|
139 |
+
- 3
|
140 |
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- 3
|
141 |
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- 2
|
142 |
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|
143 |
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conv_stride:
|
144 |
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desc: null
|
145 |
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value:
|
146 |
+
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|
147 |
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- 2
|
148 |
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- 2
|
149 |
+
- 2
|
150 |
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- 2
|
151 |
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- 2
|
152 |
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- 2
|
153 |
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cross_attention_hidden_size:
|
154 |
+
desc: null
|
155 |
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value: null
|
156 |
+
ctc_loss_reduction:
|
157 |
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desc: null
|
158 |
+
value: mean
|
159 |
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ctc_zero_infinity:
|
160 |
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desc: null
|
161 |
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value: false
|
162 |
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dataloader_drop_last:
|
163 |
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desc: null
|
164 |
+
value: false
|
165 |
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dataloader_num_workers:
|
166 |
+
desc: null
|
167 |
+
value: 0
|
168 |
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dataloader_pin_memory:
|
169 |
+
desc: null
|
170 |
+
value: true
|
171 |
+
ddp_bucket_cap_mb:
|
172 |
+
desc: null
|
173 |
+
value: None
|
174 |
+
ddp_find_unused_parameters:
|
175 |
+
desc: null
|
176 |
+
value: None
|
177 |
+
debug:
|
178 |
+
desc: null
|
179 |
+
value: '[]'
|
180 |
+
decoder_start_token_id:
|
181 |
+
desc: null
|
182 |
+
value: null
|
183 |
+
deepspeed:
|
184 |
+
desc: null
|
185 |
+
value: None
|
186 |
+
disable_tqdm:
|
187 |
+
desc: null
|
188 |
+
value: false
|
189 |
+
diversity_loss_weight:
|
190 |
+
desc: null
|
191 |
+
value: 0.1
|
192 |
+
diversity_penalty:
|
193 |
+
desc: null
|
194 |
+
value: 0.0
|
195 |
+
do_eval:
|
196 |
+
desc: null
|
197 |
+
value: true
|
198 |
+
do_predict:
|
199 |
+
desc: null
|
200 |
+
value: false
|
201 |
+
do_sample:
|
202 |
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desc: null
|
203 |
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value: false
|
204 |
+
do_stable_layer_norm:
|
205 |
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desc: null
|
206 |
+
value: true
|
207 |
+
do_train:
|
208 |
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desc: null
|
209 |
+
value: true
|
210 |
+
early_stopping:
|
211 |
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desc: null
|
212 |
+
value: false
|
213 |
+
encoder_no_repeat_ngram_size:
|
214 |
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desc: null
|
215 |
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value: 0
|
216 |
+
eos_token_id:
|
217 |
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desc: null
|
218 |
+
value: 2
|
219 |
+
eval_accumulation_steps:
|
220 |
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desc: null
|
221 |
+
value: None
|
222 |
+
eval_batch_size:
|
223 |
+
desc: null
|
224 |
+
value: 8
|
225 |
+
eval_steps:
|
226 |
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desc: null
|
227 |
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value: 500
|
228 |
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evaluation_strategy:
|
229 |
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desc: null
|
230 |
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value: steps
|
231 |
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feat_extract_activation:
|
232 |
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desc: null
|
233 |
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value: gelu
|
234 |
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feat_extract_dropout:
|
235 |
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desc: null
|
236 |
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value: 0.0
|
237 |
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feat_extract_norm:
|
238 |
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desc: null
|
239 |
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value: layer
|
240 |
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feat_proj_dropout:
|
241 |
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desc: null
|
242 |
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value: 0.0
|
243 |
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feat_quantizer_dropout:
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244 |
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desc: null
|
245 |
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value: 0.0
|
246 |
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final_dropout:
|
247 |
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desc: null
|
248 |
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value: 0.0
|
249 |
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finetuning_task:
|
250 |
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desc: null
|
251 |
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value: null
|
252 |
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forced_bos_token_id:
|
253 |
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desc: null
|
254 |
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value: null
|
255 |
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forced_eos_token_id:
|
256 |
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desc: null
|
257 |
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value: null
|
258 |
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fp16:
|
259 |
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desc: null
|
260 |
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value: true
|
261 |
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fp16_backend:
|
262 |
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desc: null
|
263 |
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value: auto
|
264 |
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fp16_full_eval:
|
265 |
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desc: null
|
266 |
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value: false
|
267 |
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fp16_opt_level:
|
268 |
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desc: null
|
269 |
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value: O1
|
270 |
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gradient_accumulation_steps:
|
271 |
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desc: null
|
272 |
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value: 8
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273 |
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gradient_checkpointing:
|
274 |
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desc: null
|
275 |
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value: true
|
276 |
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greater_is_better:
|
277 |
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desc: null
|
278 |
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value: false
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279 |
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group_by_length:
|
280 |
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desc: null
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281 |
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value: true
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282 |
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half_precision_backend:
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283 |
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desc: null
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284 |
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value: amp
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285 |
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hidden_act:
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286 |
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desc: null
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287 |
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value: gelu
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288 |
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hidden_dropout:
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289 |
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desc: null
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290 |
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value: 0.0
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291 |
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hidden_size:
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292 |
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desc: null
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293 |
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value: 1024
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294 |
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hub_model_id:
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295 |
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desc: null
|
296 |
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value: None
|
297 |
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hub_strategy:
|
298 |
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desc: null
|
299 |
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value: every_save
|
300 |
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hub_token:
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301 |
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desc: null
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302 |
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value: <HUB_TOKEN>
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303 |
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id2label:
|
304 |
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desc: null
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305 |
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value:
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306 |
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'0': LABEL_0
|
307 |
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'1': LABEL_1
|
308 |
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ignore_data_skip:
|
309 |
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310 |
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311 |
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initializer_range:
|
312 |
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313 |
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314 |
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315 |
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316 |
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317 |
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318 |
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319 |
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320 |
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321 |
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322 |
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323 |
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label2id:
|
324 |
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desc: null
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325 |
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value:
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326 |
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LABEL_0: 0
|
327 |
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LABEL_1: 1
|
328 |
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label_names:
|
329 |
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desc: null
|
330 |
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value: None
|
331 |
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label_smoothing_factor:
|
332 |
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desc: null
|
333 |
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value: 0.0
|
334 |
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layer_norm_eps:
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335 |
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336 |
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value: 1.0e-05
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337 |
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layerdrop:
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338 |
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339 |
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340 |
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learning_rate:
|
341 |
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342 |
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value: 7.5e-05
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343 |
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length_column_name:
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344 |
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desc: null
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345 |
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value: input_length
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|
wandb/run-20220130_230018-ktkg6ghu/files/output.log
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
1 |
+
|
2 |
+
|
3 |
+
|
4 |
+
|
5 |
+
|
6 |
+
|
7 |
+
83%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 5/6 [00:18<00:03, 3.64s/it]
|
8 |
+
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 6/6 [00:20<00:00, 3.23s/it]
|
9 |
+
Training completed. Do not forget to share your model on huggingface.co/models =)
|
10 |
+
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 6/6 [00:20<00:00, 3.47s/it]
|
11 |
+
Saving model checkpoint to ./
|
12 |
+
Configuration saved in ./config.json
|
13 |
+
Model weights saved in ./pytorch_model.bin
|
14 |
+
Configuration saved in ./preprocessor_config.json
|
15 |
+
Saving model checkpoint to ./
|
16 |
+
Configuration saved in ./config.json
|
17 |
+
Model weights saved in ./pytorch_model.bin
|
wandb/run-20220130_230018-ktkg6ghu/files/requirements.txt
ADDED
@@ -0,0 +1,180 @@
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|
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|
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|
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|
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|
1 |
+
aiohttp==3.8.1
|
2 |
+
aiosignal==1.2.0
|
3 |
+
analytics-python==1.4.0
|
4 |
+
anyio==3.5.0
|
5 |
+
appdirs==1.4.4
|
6 |
+
argon2-cffi-bindings==21.2.0
|
7 |
+
argon2-cffi==21.3.0
|
8 |
+
asgiref==3.5.0
|
9 |
+
asttokens==2.0.5
|
10 |
+
async-timeout==4.0.2
|
11 |
+
attrs==21.4.0
|
12 |
+
audioread==2.1.9
|
13 |
+
backcall==0.2.0
|
14 |
+
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|
15 |
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bcrypt==3.2.0
|
16 |
+
beautifulsoup4==4.9.3
|
17 |
+
black==21.12b0
|
18 |
+
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|
19 |
+
brotlipy==0.7.0
|
20 |
+
certifi==2020.12.5
|
21 |
+
cffi==1.14.3
|
22 |
+
chardet==3.0.4
|
23 |
+
charset-normalizer==2.0.10
|
24 |
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click==8.0.3
|
25 |
+
conda-build==3.21.4
|
26 |
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conda-package-handling==1.7.2
|
27 |
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conda==4.9.2
|
28 |
+
configparser==5.2.0
|
29 |
+
cryptography==3.2.1
|
30 |
+
cycler==0.11.0
|
31 |
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datasets==1.18.2.dev0
|
32 |
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debugpy==1.5.1
|
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decorator==4.4.2
|
34 |
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defusedxml==0.7.1
|
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dill==0.3.4
|
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dnspython==2.1.0
|
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docker-pycreds==0.4.0
|
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entrypoints==0.3
|
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executing==0.8.2
|
40 |
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fastapi==0.73.0
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ffmpy==0.3.0
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filelock==3.0.12
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fonttools==4.29.0
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fsspec==2022.1.0
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gitdb==4.0.9
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gitpython==3.1.26
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glob2==0.7
|
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gradio==2.7.5.2
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50 |
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h11==0.13.0
|
51 |
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huggingface-hub==0.4.0
|
52 |
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idna==2.10
|
53 |
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importlib-resources==5.4.0
|
54 |
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ipykernel==6.7.0
|
55 |
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ipython-genutils==0.2.0
|
56 |
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ipython==8.0.1
|
57 |
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ipywidgets==7.6.3
|
58 |
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jedi==0.17.0
|
59 |
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jinja2==2.11.3
|
60 |
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jiwer==2.3.0
|
61 |
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joblib==1.1.0
|
62 |
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json5==0.9.6
|
63 |
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jsonschema==4.4.0
|
64 |
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jupyter-client==7.1.2
|
65 |
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jupyter-core==4.9.1
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66 |
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jupyterlab-pygments==0.1.2
|
67 |
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jupyterlab-server==1.2.0
|
68 |
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jupyterlab-widgets==1.0.2
|
69 |
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jupyterlab==2.2.9
|
70 |
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kiwisolver==1.3.2
|
71 |
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libarchive-c==2.9
|
72 |
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librosa==0.8.1
|
73 |
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llvmlite==0.38.0
|
74 |
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markdown2==2.4.2
|
75 |
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markupsafe==1.1.1
|
76 |
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matplotlib-inline==0.1.3
|
77 |
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matplotlib==3.5.1
|
78 |
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mistune==0.8.4
|
79 |
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mkl-fft==1.3.0
|
80 |
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mkl-random==1.1.1
|
81 |
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mkl-service==2.3.0
|
82 |
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monotonic==1.6
|
83 |
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multidict==6.0.2
|
84 |
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multiprocess==0.70.12.2
|
85 |
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mypy-extensions==0.4.3
|
86 |
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nano==0.10.0
|
87 |
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nbclient==0.5.10
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88 |
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nbconvert==6.4.1
|
89 |
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nbformat==5.1.3
|
90 |
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nest-asyncio==1.5.4
|
91 |
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notebook==6.4.8
|
92 |
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numba==0.55.1
|
93 |
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numpy==1.19.2
|
94 |
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olefile==0.46
|
95 |
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packaging==21.3
|
96 |
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pandas==1.4.0
|
97 |
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pandocfilters==1.5.0
|
98 |
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paramiko==2.9.2
|
99 |
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parso==0.8.1
|
100 |
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pathspec==0.9.0
|
101 |
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pathtools==0.1.2
|
102 |
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pexpect==4.8.0
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103 |
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pickleshare==0.7.5
|
104 |
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pillow==8.1.2
|
105 |
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pip==21.3.1
|
106 |
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pkginfo==1.7.0
|
107 |
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platformdirs==2.4.1
|
108 |
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pooch==1.6.0
|
109 |
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prometheus-client==0.13.0
|
110 |
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promise==2.3
|
111 |
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prompt-toolkit==3.0.8
|
112 |
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protobuf==3.19.4
|
113 |
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psutil==5.8.0
|
114 |
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ptyprocess==0.7.0
|
115 |
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pure-eval==0.2.2
|
116 |
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pyarrow==6.0.1
|
117 |
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pycosat==0.6.3
|
118 |
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pycparser==2.20
|
119 |
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pycryptodome==3.13.0
|
120 |
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pydantic==1.9.0
|
121 |
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pydub==0.25.1
|
122 |
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pygments==2.8.0
|
123 |
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pynacl==1.5.0
|
124 |
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pyopenssl==19.1.0
|
125 |
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pyparsing==3.0.7
|
126 |
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pyrsistent==0.18.1
|
127 |
+
pysocks==1.7.1
|
128 |
+
python-dateutil==2.8.2
|
129 |
+
python-etcd==0.4.5
|
130 |
+
python-levenshtein==0.12.2
|
131 |
+
python-multipart==0.0.5
|
132 |
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pytz==2021.1
|
133 |
+
pyyaml==5.4.1
|
134 |
+
pyzmq==22.3.0
|
135 |
+
regex==2022.1.18
|
136 |
+
requests==2.24.0
|
137 |
+
resampy==0.2.2
|
138 |
+
ruamel-yaml==0.15.87
|
139 |
+
sacremoses==0.0.47
|
140 |
+
scikit-learn==1.0.2
|
141 |
+
scipy==1.7.3
|
142 |
+
send2trash==1.8.0
|
143 |
+
sentry-sdk==1.5.4
|
144 |
+
setuptools==50.3.1.post20201107
|
145 |
+
shortuuid==1.0.8
|
146 |
+
six==1.15.0
|
147 |
+
smmap==5.0.0
|
148 |
+
sniffio==1.2.0
|
149 |
+
soundfile==0.10.3.post1
|
150 |
+
soupsieve==2.2
|
151 |
+
stack-data==0.1.4
|
152 |
+
starlette==0.17.1
|
153 |
+
subprocess32==3.5.4
|
154 |
+
termcolor==1.1.0
|
155 |
+
terminado==0.13.1
|
156 |
+
testpath==0.5.0
|
157 |
+
threadpoolctl==3.0.0
|
158 |
+
tokenizers==0.11.4
|
159 |
+
tomli==1.2.3
|
160 |
+
torch==1.10.2
|
161 |
+
torchaudio==0.10.2
|
162 |
+
torchelastic==0.2.2
|
163 |
+
torchtext==0.9.1
|
164 |
+
torchvision==0.9.1
|
165 |
+
tornado==6.1
|
166 |
+
tqdm==4.62.3
|
167 |
+
traitlets==5.1.1
|
168 |
+
transformers==4.17.0.dev0
|
169 |
+
typing-extensions==4.0.1
|
170 |
+
urllib3==1.25.11
|
171 |
+
uvicorn==0.17.1
|
172 |
+
wandb==0.12.9
|
173 |
+
wcwidth==0.2.5
|
174 |
+
webencodings==0.5.1
|
175 |
+
wheel==0.35.1
|
176 |
+
widgetsnbextension==3.5.2
|
177 |
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xxhash==2.0.2
|
178 |
+
yarl==1.7.2
|
179 |
+
yaspin==2.1.0
|
180 |
+
zipp==3.7.0
|
wandb/run-20220130_230018-ktkg6ghu/files/wandb-metadata.json
ADDED
@@ -0,0 +1,63 @@
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"os": "Linux-4.15.0-151-generic-x86_64-with-glibc2.10",
|
3 |
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|
4 |
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5 |
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6 |
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7 |
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8 |
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9 |
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10 |
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|
11 |
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|
12 |
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"--activation_dropout=0.1",
|
13 |
+
"--dataset_name=mozilla-foundation/common_voice_7_0",
|
14 |
+
"--dataset_config_name=fr",
|
15 |
+
"--eval_steps=500",
|
16 |
+
"--evaluation_strategy=steps",
|
17 |
+
"--feat_proj_dropout=0.0",
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18 |
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"--freeze_feature_encoder",
|
19 |
+
"--fp16",
|
20 |
+
"--gradient_accumulation_steps=8",
|
21 |
+
"--gradient_checkpointing",
|
22 |
+
"--group_by_length",
|
23 |
+
"--layerdrop=0.0",
|
24 |
+
"--learning_rate=7.5e-5",
|
25 |
+
"--length_column_name=input_length",
|
26 |
+
"--load_best_model_at_end",
|
27 |
+
"--logging_steps=100",
|
28 |
+
"--mask_feature_length=64",
|
29 |
+
"--mask_feature_prob=0.25",
|
30 |
+
"--mask_time_length=10",
|
31 |
+
"--mask_time_prob=0.75",
|
32 |
+
"--max_train_samples=1000",
|
33 |
+
"--max_eval_samples=200",
|
34 |
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"--model_name_or_path=facebook/wav2vec2-xls-r-300m",
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35 |
+
"--num_train_epochs=0.4",
|
36 |
+
"--output_dir=./",
|
37 |
+
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|
38 |
+
"--per_device_train_batch_size=8",
|
39 |
+
"--per_device_eval_batch_size=8",
|
40 |
+
"--preprocessing_num_workers=4",
|
41 |
+
"--push_to_hub",
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42 |
+
"--report_to=wandb",
|
43 |
+
"--save_steps=500",
|
44 |
+
"--save_total_limit=3",
|
45 |
+
"--text_column_name=sentence",
|
46 |
+
"--use_auth_token",
|
47 |
+
"--warmup_steps=2000",
|
48 |
+
"--do_train",
|
49 |
+
"--do_eval"
|
50 |
+
],
|
51 |
+
"state": "running",
|
52 |
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"program": "run_speech_recognition_ctc.py",
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53 |
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54 |
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|
55 |
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"remote": "https://huggingface.co/Plim/xls-r-300m-fr",
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56 |
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"commit": "1fb68dc4e7aab3ec7e3f3b252fb785ff9e047418"
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57 |
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},
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58 |
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"email": "[email protected]",
|
59 |
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"root": "/workspace/xls-r-300m-fr",
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60 |
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"host": "job-3261699b-76eb-4c28-8419-66a66c5c9199",
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61 |
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"username": "ovh",
|
62 |
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"executable": "/opt/conda/bin/python"
|
63 |
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}
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wandb/run-20220130_230018-ktkg6ghu/files/wandb-summary.json
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1 |
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wandb/run-20220130_230018-ktkg6ghu/logs/debug-internal.log
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@@ -0,0 +1,70 @@
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|
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|
|
|
|
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|
|
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|
|
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|
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|
|
|
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|
|
|
|
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|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
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2022-01-30 23:00:20,963 WARNING SenderThread:28776 [sender.py:send_metric():897] Seen metric with glob (shouldnt happen)
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30 |
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2022-01-30 23:00:21,176 INFO Thread-8 :28776 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_230018-ktkg6ghu/files/wandb-summary.json
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31 |
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2022-01-30 23:00:21,176 INFO Thread-8 :28776 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_230018-ktkg6ghu/files/conda-environment.yaml
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32 |
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2022-01-30 23:00:21,177 INFO Thread-8 :28776 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_230018-ktkg6ghu/files/output.log
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33 |
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2022-01-30 23:00:21,177 INFO Thread-8 :28776 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_230018-ktkg6ghu/files/requirements.txt
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34 |
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2022-01-30 23:00:21,177 INFO Thread-8 :28776 [dir_watcher.py:_on_file_created():217] file/dir created: /workspace/xls-r-300m-fr/wandb/run-20220130_230018-ktkg6ghu/files/wandb-metadata.json
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35 |
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36 |
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2022-01-30 23:00:23,173 INFO Thread-8 :28776 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_230018-ktkg6ghu/files/output.log
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37 |
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2022-01-30 23:00:27,175 INFO Thread-8 :28776 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_230018-ktkg6ghu/files/output.log
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38 |
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2022-01-30 23:00:31,177 INFO Thread-8 :28776 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_230018-ktkg6ghu/files/output.log
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39 |
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2022-01-30 23:00:33,178 INFO Thread-8 :28776 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_230018-ktkg6ghu/files/output.log
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40 |
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41 |
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2022-01-30 23:00:36,075 DEBUG SenderThread:28776 [sender.py:send_request():248] send_request: stop_status
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42 |
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2022-01-30 23:00:37,180 INFO Thread-8 :28776 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_230018-ktkg6ghu/files/output.log
|
43 |
+
2022-01-30 23:00:41,182 INFO Thread-8 :28776 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_230018-ktkg6ghu/files/output.log
|
44 |
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2022-01-30 23:00:41,623 DEBUG SenderThread:28776 [sender.py:send():234] send: metric
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45 |
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2022-01-30 23:00:41,623 DEBUG SenderThread:28776 [sender.py:send():234] send: metric
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46 |
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2022-01-30 23:00:41,623 DEBUG SenderThread:28776 [sender.py:send():234] send: metric
|
47 |
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2022-01-30 23:00:41,623 DEBUG SenderThread:28776 [sender.py:send():234] send: metric
|
48 |
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2022-01-30 23:00:41,623 DEBUG SenderThread:28776 [sender.py:send():234] send: metric
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2022-01-30 23:00:41,624 DEBUG SenderThread:28776 [sender.py:send():234] send: metric
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2022-01-30 23:00:41,624 DEBUG SenderThread:28776 [sender.py:send():234] send: history
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2022-01-30 23:00:41,624 DEBUG SenderThread:28776 [sender.py:send():234] send: summary
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2022-01-30 23:00:41,624 INFO SenderThread:28776 [sender.py:_save_file():939] saving file wandb-summary.json with policy end
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2022-01-30 23:00:42,183 INFO Thread-8 :28776 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_230018-ktkg6ghu/files/wandb-summary.json
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2022-01-30 23:00:43,184 INFO Thread-8 :28776 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_230018-ktkg6ghu/files/output.log
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2022-01-30 23:00:45,185 INFO Thread-8 :28776 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_230018-ktkg6ghu/files/output.log
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2022-01-30 23:00:47,187 INFO Thread-8 :28776 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-fr/wandb/run-20220130_230018-ktkg6ghu/files/output.log
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2022-01-30 23:00:48,450 DEBUG SenderThread:28776 [sender.py:send():234] send: stats
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2022-01-30 23:00:51,326 DEBUG HandlerThread:28776 [handler.py:handle_request():130] handle_request: stop_status
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2022-01-30 23:00:51,327 DEBUG SenderThread:28776 [sender.py:send_request():248] send_request: stop_status
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2022-01-30 23:01:06,483 DEBUG HandlerThread:28776 [handler.py:handle_request():130] handle_request: stop_status
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2022-01-30 23:01:06,484 DEBUG SenderThread:28776 [sender.py:send_request():248] send_request: stop_status
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2022-01-30 23:01:18,718 DEBUG SenderThread:28776 [sender.py:send():234] send: stats
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2022-01-30 23:01:21,647 DEBUG HandlerThread:28776 [handler.py:handle_request():130] handle_request: stop_status
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2022-01-30 23:01:21,648 DEBUG SenderThread:28776 [sender.py:send_request():248] send_request: stop_status
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2022-01-30 23:01:36,814 DEBUG HandlerThread:28776 [handler.py:handle_request():130] handle_request: stop_status
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2022-01-30 23:01:48,941 DEBUG SenderThread:28776 [sender.py:send():234] send: stats
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2022-01-30 23:01:51,982 DEBUG SenderThread:28776 [sender.py:send_request():248] send_request: stop_status
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wandb/run-20220130_230018-ktkg6ghu/logs/debug.log
ADDED
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2022-01-30 23:00:18,934 INFO MainThread:28546 [wandb_setup.py:_flush():71] setting env: {'project': 'xls-r-300-fr'}
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2022-01-30 23:00:18,934 INFO MainThread:28546 [wandb_setup.py:_flush():71] setting login settings: {}
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2022-01-30 23:00:18,935 INFO MainThread:28546 [wandb_init.py:_log_setup():371] Logging user logs to /workspace/xls-r-300m-fr/wandb/run-20220130_230018-ktkg6ghu/logs/debug.log
|
4 |
+
2022-01-30 23:00:18,935 INFO MainThread:28546 [wandb_init.py:_log_setup():372] Logging internal logs to /workspace/xls-r-300m-fr/wandb/run-20220130_230018-ktkg6ghu/logs/debug-internal.log
|
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+
2022-01-30 23:00:18,935 INFO MainThread:28546 [wandb_init.py:init():404] calling init triggers
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2022-01-30 23:00:18,935 INFO MainThread:28546 [wandb_init.py:init():409] wandb.init called with sweep_config: {}
|
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+
config: {}
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2022-01-30 23:00:18,935 INFO MainThread:28546 [wandb_init.py:init():460] starting backend
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2022-01-30 23:00:18,935 INFO MainThread:28546 [backend.py:_multiprocessing_setup():99] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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2022-01-30 23:00:19,011 INFO MainThread:28546 [backend.py:ensure_launched():216] starting backend process...
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2022-01-30 23:00:19,071 INFO MainThread:28546 [backend.py:ensure_launched():221] started backend process with pid: 28776
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2022-01-30 23:00:19,073 INFO MainThread:28546 [wandb_init.py:init():469] backend started and connected
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2022-01-30 23:00:19,081 INFO MainThread:28546 [wandb_init.py:init():533] updated telemetry
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2022-01-30 23:00:19,256 INFO MainThread:28546 [wandb_init.py:init():563] communicating current version
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2022-01-30 23:00:19,948 INFO MainThread:28546 [wandb_init.py:init():568] got version response
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2022-01-30 23:00:19,948 INFO MainThread:28546 [wandb_init.py:init():578] communicating run to backend with 30 second timeout
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2022-01-30 23:00:20,172 INFO MainThread:28546 [wandb_init.py:init():606] starting run threads in backend
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2022-01-30 23:00:20,795 INFO MainThread:28546 [wandb_run.py:_console_start():1810] atexit reg
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2022-01-30 23:00:20,796 INFO MainThread:28546 [wandb_run.py:_redirect():1684] redirect: SettingsConsole.REDIRECT
|
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2022-01-30 23:00:20,797 INFO MainThread:28546 [wandb_run.py:_redirect():1689] Redirecting console.
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2022-01-30 23:00:20,803 INFO MainThread:28546 [wandb_run.py:_redirect():1745] Redirects installed.
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2022-01-30 23:00:20,803 INFO MainThread:28546 [wandb_init.py:init():633] run started, returning control to user process
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2022-01-30 23:00:20,805 INFO MainThread:28546 [wandb_run.py:_config_callback():956] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'architectures': ['Wav2Vec2ForPreTraining'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 40, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'facebook/wav2vec2-xls-r-300m', 'transformers_version': '4.17.0.dev0', 'feat_extract_dropout': 0.0, 'model_type': 'wav2vec2', 'num_feat_extract_layers': 7, 'hidden_size': 1024, 'feat_extract_norm': 'layer', 'feat_extract_activation': 'gelu', 'conv_dim': [512, 512, 512, 512, 512, 512, 512], 'conv_stride': [5, 2, 2, 2, 2, 2, 2], 'conv_kernel': [10, 3, 3, 3, 3, 2, 2], 'conv_bias': True, 'num_conv_pos_embeddings': 128, 'num_conv_pos_embedding_groups': 16, 'num_hidden_layers': 24, 'intermediate_size': 4096, 'hidden_act': 'gelu', 'num_attention_heads': 16, 'hidden_dropout': 0.0, 'attention_dropout': 0.0, 'activation_dropout': 0.1, 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'hub_model_id': 'None', 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'gradient_checkpointing': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': 'None', 'push_to_hub_organization': 'None', 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', '_n_gpu': 1, 'mp_parameters': '', 'train_batch_size': 8, 'eval_batch_size': 8}
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2022-01-30 23:00:20,811 INFO MainThread:28546 [wandb_watch.py:watch():43] Watching
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wandb/run-20220130_230018-ktkg6ghu/run-ktkg6ghu.wandb
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