Upload 13 files
Browse files- .gitattributes +1 -0
- README.md +52 -3
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- all_results.json +14 -0
- config.json +29 -0
- eval_results.json +8 -0
- special_tokens_map.json +34 -0
- tokenizer.json +3 -0
- tokenizer.model +3 -0
- tokenizer_config.json +1757 -0
- train_results.json +9 -0
- trainer_state.json +2152 -0
- training_args.bin +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license:
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---
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license: gemma
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library_name: peft
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tags:
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- alignment-handbook
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- generated_from_trainer
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base_model: google/gemma-2b
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datasets:
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- Ritvik19/open-hermes-2_5-reformatted
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model-index:
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- name: openhermes-2b-gemma-sft-qlora
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results: []
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---
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**Note**: This model card has been generated automatically according to the information the Trainer had access to.
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Visit the [model card](https://ritvik19.github.io/small-llms/) to see the full description
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# openhermes-2b-gemma-sft-qlora
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the Ritvik19/open-hermes-2_5-reformatted dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3468
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 128
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.1166 | 0.9997 | 1505 | 1.3468 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.40.1
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- Pytorch 2.1.2+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "google/gemma-2b",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"down_proj",
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"up_proj",
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"k_proj",
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"v_proj",
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"q_proj",
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"gate_proj",
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"o_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:88161c5e5af5f852a99bc2ba855b21111d5bd5946a045af005b590e512f15192
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size 39256960
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all_results.json
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{
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"epoch": 0.9996678844237795,
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"eval_loss": 1.3468068838119507,
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"eval_runtime": 2440.5191,
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"eval_samples": 23109,
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"eval_samples_per_second": 5.607,
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"eval_steps_per_second": 5.607,
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"total_flos": 4.73786206333698e+18,
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"train_loss": 0.5388378948072262,
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"train_runtime": 65741.8056,
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"train_samples": 1001538,
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"train_samples_per_second": 2.931,
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"train_steps_per_second": 0.023
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}
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config.json
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{
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"_name_or_path": "google/gemma-2b",
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"architectures": [
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"GemmaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 2,
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"eos_token_id": 1,
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"head_dim": 256,
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"hidden_act": "gelu",
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"hidden_activation": null,
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 16384,
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"max_position_embeddings": 8192,
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"model_type": "gemma",
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"num_attention_heads": 8,
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"num_hidden_layers": 18,
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"num_key_value_heads": 1,
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"pad_token_id": 0,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.1",
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"use_cache": true,
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"vocab_size": 256000
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}
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eval_results.json
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{
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"epoch": 0.9996678844237795,
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"eval_loss": 1.3468068838119507,
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"eval_runtime": 2440.5191,
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"eval_samples": 23109,
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"eval_samples_per_second": 5.607,
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"eval_steps_per_second": 5.607
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}
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<start_of_turn>",
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"<end_of_turn>"
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],
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"bos_token": {
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"content": "<bos>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<eos>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:7da53ca29fb16f6b2489482fc0bc6a394162cdab14d12764a1755ebc583fea79
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size 17518525
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
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size 4241003
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tokenizer_config.json
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|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<pad>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<eos>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "<bos>",
|
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1740 |
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}
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1741 |
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},
|
1742 |
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"additional_special_tokens": [
|
1743 |
+
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|
1744 |
+
"<end_of_turn>"
|
1745 |
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],
|
1746 |
+
"bos_token": "<bos>",
|
1747 |
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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
1748 |
+
"clean_up_tokenization_spaces": false,
|
1749 |
+
"eos_token": "<eos>",
|
1750 |
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|
1751 |
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"pad_token": "<pad>",
|
1752 |
+
"sp_model_kwargs": {},
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1753 |
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"spaces_between_special_tokens": false,
|
1754 |
+
"tokenizer_class": "GemmaTokenizer",
|
1755 |
+
"unk_token": "<unk>",
|
1756 |
+
"use_default_system_prompt": false
|
1757 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
1 |
+
{
|
2 |
+
"epoch": 0.9996678844237795,
|
3 |
+
"total_flos": 4.73786206333698e+18,
|
4 |
+
"train_loss": 0.5388378948072262,
|
5 |
+
"train_runtime": 65741.8056,
|
6 |
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"train_samples": 1001538,
|
7 |
+
"train_samples_per_second": 2.931,
|
8 |
+
"train_steps_per_second": 0.023
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2152 @@
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"eval_steps_per_second": 5.613,
|
2131 |
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"step": 1505
|
2132 |
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},
|
2133 |
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{
|
2134 |
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"epoch": 0.9996678844237795,
|
2135 |
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"step": 1505,
|
2136 |
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"total_flos": 4.73786206333698e+18,
|
2137 |
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"train_loss": 0.5388378948072262,
|
2138 |
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"train_runtime": 65741.8056,
|
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"train_samples_per_second": 2.931,
|
2140 |
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"train_steps_per_second": 0.023
|
2141 |
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}
|
2142 |
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],
|
2143 |
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"logging_steps": 5,
|
2144 |
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"max_steps": 1505,
|
2145 |
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"num_input_tokens_seen": 0,
|
2146 |
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"num_train_epochs": 1,
|
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"save_steps": 20,
|
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"total_flos": 4.73786206333698e+18,
|
2149 |
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"train_batch_size": 1,
|
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"trial_name": null,
|
2151 |
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"trial_params": null
|
2152 |
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}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a07f8eeee0117d1da987b7a80484f52ff03acdc93bc695bd367245b955d5f4c4
|
3 |
+
size 5112
|