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--- |
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license: apache-2.0 |
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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: mnoukhov/pythia410m-sft-tldr |
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model-index: |
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- name: pythia410m-dpo2-tldr |
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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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# pythia410m-dpo2-tldr |
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This model is a fine-tuned version of [mnoukhov/pythia410m-sft-tldr](https://huggingface.co/mnoukhov/pythia410m-sft-tldr) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6553 |
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- Rewards/chosen: -0.0115 |
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- Rewards/rejected: -0.0984 |
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- Rewards/accuracies: 0.6726 |
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- Rewards/margins: 0.0869 |
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- Logps/rejected: -65.8898 |
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- Logps/chosen: -65.8898 |
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- Logps/ref Rejected: -59.5615 |
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- Logps/ref Chosen: -65.6594 |
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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: 8 |
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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: 32 |
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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: 1.0 |
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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 | Logps/ref Rejected | Logps/ref Chosen | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:------------------:|:----------------:| |
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| No log | 0.2016 | 63 | 0.6719 | 0.0165 | -0.0292 | 0.6739 | 0.0457 | -65.3302 | -65.3302 | -59.5615 | -65.6594 | |
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| 0.6865 | 0.4032 | 126 | 0.6614 | 0.0030 | -0.0680 | 0.6752 | 0.0710 | -65.5994 | -65.5994 | -59.5615 | -65.6594 | |
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| 0.6865 | 0.6048 | 189 | 0.6571 | -0.0046 | -0.0866 | 0.6744 | 0.0820 | -65.7515 | -65.7515 | -59.5615 | -65.6594 | |
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| 0.6771 | 0.8064 | 252 | 0.6553 | -0.0115 | -0.0984 | 0.6726 | 0.0869 | -65.8898 | -65.8898 | -59.5615 | -65.6594 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
