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--- |
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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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- trl |
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- dpo |
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- generated_from_trainer |
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base_model: DUAL-GPO-2/zephyr-7b-sft-new |
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datasets: |
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- HuggingFaceH4/ultrafeedback_binarized |
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model-index: |
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- name: zephyr-7b-gpo-new-v1-i0 |
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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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# zephyr-7b-gpo-new-v1-i0 |
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This model is a fine-tuned version of [DUAL-GPO-2/zephyr-7b-sft-new](https://huggingface.co/DUAL-GPO-2/zephyr-7b-sft-new) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Logits/chosen: -1.6150 |
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- Logits/rejected: -1.4339 |
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- Logps/chosen: -400.8042 |
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- Logps/rejected: -417.9239 |
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- Loss: 0.0367 |
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- Rewards/accuracies: 0.5930 |
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- Rewards/chosen: -0.1716 |
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- Rewards/margins: 0.0499 |
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- Rewards/rejected: -0.2215 |
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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-06 |
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- train_batch_size: 2 |
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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: 2 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- total_eval_batch_size: 4 |
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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 | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected | |
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|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:| |
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| 0.0532 | 0.01 | 100 | -2.3286 | -2.1100 | -227.7062 | -195.3472 | 0.0535 | 0.5530 | 0.0015 | 0.0005 | 0.0011 | |
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| 0.0625 | 0.03 | 200 | -2.3309 | -2.1124 | -225.1784 | -194.7161 | 0.0527 | 0.6080 | 0.0040 | 0.0023 | 0.0017 | |
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| 0.0485 | 0.04 | 300 | -2.3236 | -2.1050 | -237.7424 | -214.5471 | 0.0496 | 0.5890 | -0.0085 | 0.0096 | -0.0181 | |
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| 0.0361 | 0.05 | 400 | -2.3720 | -2.1493 | -251.4063 | -239.9417 | 0.0447 | 0.5990 | -0.0222 | 0.0213 | -0.0435 | |
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| 0.0375 | 0.07 | 500 | -2.1960 | -1.9821 | -282.6958 | -281.3289 | 0.0417 | 0.5890 | -0.0535 | 0.0314 | -0.0849 | |
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| 0.0522 | 0.08 | 600 | -1.5433 | -1.3697 | -398.6434 | -395.0714 | 0.0432 | 0.5920 | -0.1694 | 0.0292 | -0.1987 | |
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| 0.0453 | 0.09 | 700 | -1.9137 | -1.7203 | -295.2011 | -297.8420 | 0.0367 | 0.5780 | -0.0660 | 0.0355 | -0.1014 | |
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| 0.0293 | 0.1 | 800 | -1.6150 | -1.4339 | -400.8042 | -417.9239 | 0.0367 | 0.5930 | -0.1716 | 0.0499 | -0.2215 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
