Model save
Browse files- README.md +14 -14
- adapter_model.safetensors +1 -1
- all_results.json +18 -18
- eval_results.json +14 -14
- train_results.json +4 -4
- trainer_state.json +1403 -635
README.md
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Rewards/chosen: -
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- Rewards/rejected: -
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- Rewards/accuracies: 0.
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- Rewards/margins:
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- Logps/rejected: -
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- Logps/chosen: -
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- Logits/rejected:
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- Logits/chosen:
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- Use Label:
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- Pred Label:
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## Model description
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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:
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- total_train_batch_size:
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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: linear
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Use Label | Pred Label |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:|
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### Framework versions
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0116
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- Rewards/chosen: -1343.7761
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- Rewards/rejected: -1133.7241
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- Rewards/accuracies: 0.4740
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- Rewards/margins: -210.0521
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- Logps/rejected: -11596.5400
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- Logps/chosen: -13722.0166
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- Logits/rejected: 13.8132
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- Logits/chosen: 13.8244
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- Use Label: 1746.1600
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- Pred Label: 14285.8398
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## Model description
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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: linear
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Use Label | Pred Label |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:|
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| 0.0144 | 1.0 | 955 | 0.0116 | -1343.7761 | -1133.7241 | 0.4740 | -210.0521 | -11596.5400 | -13722.0166 | 13.8132 | 13.8244 | 1742.1600 | 13789.8398 |
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### Framework versions
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adapter_model.safetensors
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all_results.json
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