End of training
Browse files- README.md +16 -4
- all_results.json +16 -0
- eval_results.json +10 -0
- logs/events.out.tfevents.1732209583.ki-g0009.3474524.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +920 -0
README.md
CHANGED
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@@ -2,11 +2,23 @@
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library_name: transformers
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tags:
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- generated_from_trainer
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metrics:
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| 6 |
- accuracy
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model-index:
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- name: bert_base_lda_5_v1
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-
results:
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---
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| 11 |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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@@ -14,10 +26,10 @@ should probably proofread and complete it, then remove this comment. -->
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# bert_base_lda_5_v1
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-
This model is a fine-tuned version of [](https://huggingface.co/) on
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| 18 |
It achieves the following results on the evaluation set:
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-
- Loss: 7.
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-
- Accuracy: 0.
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## Model description
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| 23 |
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library_name: transformers
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tags:
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- generated_from_trainer
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+
datasets:
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+
- gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-5
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| 7 |
metrics:
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| 8 |
- accuracy
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| 9 |
model-index:
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| 10 |
- name: bert_base_lda_5_v1
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| 11 |
+
results:
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| 12 |
+
- task:
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| 13 |
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name: Masked Language Modeling
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type: fill-mask
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+
dataset:
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name: gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-5
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+
type: gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-5
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+
metrics:
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| 19 |
+
- name: Accuracy
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| 20 |
+
type: accuracy
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| 21 |
+
value: 0.15604339718596372
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| 22 |
---
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| 23 |
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| 24 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 26 |
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| 27 |
# bert_base_lda_5_v1
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| 28 |
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+
This model is a fine-tuned version of [](https://huggingface.co/) on the gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-5 dataset.
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| 30 |
It achieves the following results on the evaluation set:
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| 31 |
+
- Loss: 7.2047
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| 32 |
+
- Accuracy: 0.1560
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| 33 |
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| 34 |
## Model description
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| 35 |
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all_results.json
ADDED
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{
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| 2 |
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"epoch": 25.0,
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| 3 |
+
"eval_accuracy": 0.15604339718596372,
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| 4 |
+
"eval_loss": 7.204704761505127,
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| 5 |
+
"eval_runtime": 0.7168,
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| 6 |
+
"eval_samples": 479,
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| 7 |
+
"eval_samples_per_second": 668.291,
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| 8 |
+
"eval_steps_per_second": 6.976,
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| 9 |
+
"perplexity": 1345.7473139718898,
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| 10 |
+
"total_flos": 1.5149101316039424e+18,
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| 11 |
+
"train_loss": 7.379782975178421,
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+
"train_runtime": 17091.3155,
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| 13 |
+
"train_samples": 228639,
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| 14 |
+
"train_samples_per_second": 334.437,
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| 15 |
+
"train_steps_per_second": 3.484
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+
}
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eval_results.json
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{
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"epoch": 25.0,
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+
"eval_accuracy": 0.15604339718596372,
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+
"eval_loss": 7.204704761505127,
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| 5 |
+
"eval_runtime": 0.7168,
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| 6 |
+
"eval_samples": 479,
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| 7 |
+
"eval_samples_per_second": 668.291,
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| 8 |
+
"eval_steps_per_second": 6.976,
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| 9 |
+
"perplexity": 1345.7473139718898
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+
}
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logs/events.out.tfevents.1732209583.ki-g0009.3474524.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:9882727d99c12a37110eb9380de9275a42a31db8c67d9bce461b288c470372a4
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+
size 417
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train_results.json
ADDED
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{
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"epoch": 25.0,
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+
"total_flos": 1.5149101316039424e+18,
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+
"train_loss": 7.379782975178421,
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+
"train_runtime": 17091.3155,
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+
"train_samples": 228639,
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+
"train_samples_per_second": 334.437,
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+
"train_steps_per_second": 3.484
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+
}
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trainer_state.json
ADDED
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