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--- |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: sophiex/pythia-1b-sft_hh_rlhf |
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model-index: |
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- name: dpo_pythia1b_hh_rlhf.yml_local_29-04-24_13-31-33_xxxxx |
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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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# dpo_pythia1b_hh_rlhf.yml_local_29-04-24_13-31-33_xxxxx |
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This model is a fine-tuned version of [sophiex/pythia-1b-sft_hh_rlhf](https://huggingface.co/sophiex/pythia-1b-sft_hh_rlhf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6581 |
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- Rewards/chosen: -0.1633 |
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- Rewards/rejected: -0.3103 |
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- Rewards/accuracies: 0.5971 |
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- Rewards/margins: 0.1470 |
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- Logps/rejected: -160.0996 |
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- Logps/chosen: -160.0996 |
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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: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 16 |
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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_steps: 150 |
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- num_epochs: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:| |
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| 0.6931 | 0.0 | 1 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | -158.4665 | -158.4665 | |
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| 0.6701 | 0.2 | 503 | 0.6745 | -0.0602 | -0.1382 | 0.5734 | 0.0779 | -159.0690 | -159.0690 | |
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| 0.6624 | 0.4 | 1006 | 0.6670 | -0.0864 | -0.1939 | 0.5862 | 0.1075 | -159.3303 | -159.3303 | |
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| 0.6587 | 0.6 | 1509 | 0.6612 | -0.1043 | -0.2301 | 0.5891 | 0.1259 | -159.5091 | -159.5091 | |
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| 0.6511 | 0.8 | 2012 | 0.6581 | -0.1633 | -0.3103 | 0.5971 | 0.1470 | -160.0996 | -160.0996 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.38.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
