Model save
Browse files- README.md +62 -0
- adapter_config.json +25 -0
- adapter_model.safetensors +3 -0
- all_results.json +13 -0
- eval_results.json +8 -0
- special_tokens_map.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +124 -0
- train_results.json +8 -0
- trainer_state.json +102 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: tiiuae/falcon-7b
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tags:
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- generated_from_trainer
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model-index:
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- name: falcon-7b-sft-lora
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results: []
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---
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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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should probably proofread and complete it, then remove this comment. -->
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# falcon-7b-sft-lora
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This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6898
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 128
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- total_train_batch_size: 4096
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- total_eval_batch_size: 64
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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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- 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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| 1.6877 | 0.99 | 50 | 1.6898 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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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": "tiiuae/falcon-7b",
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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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"lora_alpha": 16,
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"lora_dropout": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"query_key_value",
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"dense_h_to_4h",
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"dense",
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"dense_4h_to_h"
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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:c1472d95895fe0a3106d3df2e3c0c5fa104e008600e01777d9e979465a6b3003
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size 522227376
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all_results.json
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{
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"epoch": 0.99,
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"eval_loss": 1.6898281574249268,
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"eval_runtime": 1242.0087,
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"eval_samples": 23110,
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"eval_samples_per_second": 18.607,
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"eval_steps_per_second": 0.291,
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"train_loss": 1.7278787899017334,
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"train_runtime": 16160.382,
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"train_samples": 207865,
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"train_samples_per_second": 12.863,
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"train_steps_per_second": 0.003
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}
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eval_results.json
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{
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"epoch": 0.99,
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"eval_loss": 1.6898281574249268,
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"eval_runtime": 1242.0087,
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"eval_samples": 23110,
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"eval_samples_per_second": 18.607,
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"eval_steps_per_second": 0.291
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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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">>TITLE<<",
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">>ABSTRACT<<",
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">>INTRODUCTION<<",
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">>SUMMARY<<",
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">>COMMENT<<",
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">>ANSWER<<",
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">>QUESTION<<",
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">>DOMAIN<<",
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">>PREFIX<<",
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">>SUFFIX<<",
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">>MIDDLE<<"
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],
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"eos_token": "<|endoftext|>",
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"pad_token": "<|endoftext|>"
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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},
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"2": {
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"content": ">>INTRODUCTION<<",
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},
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"3": {
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"content": ">>SUMMARY<<",
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"lstrip": false,
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"normalized": false,
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},
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"4": {
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"content": ">>COMMENT<<",
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},
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"5": {
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"content": ">>ANSWER<<",
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"special": true
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},
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"6": {
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"content": ">>QUESTION<<",
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"special": true
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},
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"7": {
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"content": ">>DOMAIN<<",
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},
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"special": true
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},
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"special": true
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},
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"10": {
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"content": ">>MIDDLE<<",
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"rstrip": false,
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},
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"11": {
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"content": "<|endoftext|>",
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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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"special": true
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}
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},
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"additional_special_tokens": [
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">>TITLE<<",
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">>ABSTRACT<<",
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">>INTRODUCTION<<",
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">>SUMMARY<<",
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">>COMMENT<<",
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">>ANSWER<<",
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">>QUESTION<<",
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">>DOMAIN<<",
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">>PREFIX<<",
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">>SUFFIX<<",
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">>MIDDLE<<"
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],
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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 %}",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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"model_input_names": [
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"input_ids",
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"attention_mask"
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],
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"model_max_length": 2048,
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"pad_token": "<|endoftext|>",
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"tokenizer_class": "PreTrainedTokenizerFast"
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}
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train_results.json
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{
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"epoch": 0.99,
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"train_loss": 1.7278787899017334,
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"train_runtime": 16160.382,
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"train_samples": 207865,
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"train_samples_per_second": 12.863,
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"train_steps_per_second": 0.003
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}
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trainer_state.json
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{
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"is_world_process_zero": true,
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"log_history": [
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{
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},
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{
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},
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{
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"loss": 1.7893,
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"step": 10
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},
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{
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"epoch": 0.3,
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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