Model save
Browse files- README.md +60 -0
- all_results.json +8 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- train_results.json +8 -0
- trainer_state.json +270 -0
README.md
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---
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license: apache-2.0
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base_model: YYYYYYibo/full_vanilla_dpo_iter_1
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: approx_nash_3temp_iter_2
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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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# approx_nash_3temp_iter_2
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This model is a fine-tuned version of [YYYYYYibo/full_vanilla_dpo_iter_1](https://huggingface.co/YYYYYYibo/full_vanilla_dpo_iter_1) on the None dataset.
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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: 5e-07
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- train_batch_size: 1
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 5
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- gradient_accumulation_steps: 26
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- total_train_batch_size: 130
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- total_eval_batch_size: 10
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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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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.3.1+cu121
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- Datasets 2.14.6
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- Tokenizers 0.15.2
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all_results.json
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{
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"epoch": 0.99,
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"train_loss": 0.6839175197034101,
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"train_runtime": 39806.5992,
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"train_samples": 20000,
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"train_samples_per_second": 0.502,
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"train_steps_per_second": 0.004
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.38.2"
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}
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model-00001-of-00003.safetensors
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model.safetensors.index.json
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