Model save
Browse files- README.md +19 -23
- all_results.json +15 -15
- config.json +1 -1
- eval_results.json +11 -11
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- runs/Jun24_18-16-23_facf8d095d45/events.out.tfevents.1719253006.facf8d095d45.359765.0 +3 -0
- runs/Jun24_18-16-23_facf8d095d45/events.out.tfevents.1719273985.facf8d095d45.359765.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +950 -950
- training_args.bin +2 -2
README.md
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license: apache-2.0
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base_model: alignment-handbook/zephyr-7b-sft-full
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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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datasets:
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- HuggingFaceH4/ultrafeedback_binarized
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model-index:
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- name: zephyr-7b-dpo-full
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results: []
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# zephyr-7b-dpo-full
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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
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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: 1.
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- Logps/chosen: -
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- Logits/chosen: 2.
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## Model description
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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### Framework versions
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license: apache-2.0
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base_model: alignment-handbook/zephyr-7b-sft-full
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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: zephyr-7b-dpo-full
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results: []
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# zephyr-7b-dpo-full
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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: 0.6712
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- Rewards/chosen: -2.0287
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- Rewards/rejected: -3.3245
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- Rewards/accuracies: 0.7639
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- Rewards/margins: 1.2958
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- Logps/rejected: -594.2247
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- Logps/chosen: -486.9804
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- Logits/rejected: 3.7376
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- Logits/chosen: 2.4533
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## Model description
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.8957 | 0.1 | 100 | 0.9028 | -0.5210 | -0.6849 | 0.6905 | 0.1639 | -330.2668 | -336.2060 | -2.5107 | -2.5460 |
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| 0.7658 | 0.21 | 200 | 0.7650 | -0.9414 | -1.6932 | 0.7460 | 0.7519 | -431.1015 | -378.2476 | 0.3347 | -0.1529 |
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| 0.7079 | 0.31 | 300 | 0.7289 | -1.3837 | -2.4868 | 0.7560 | 1.1031 | -510.4591 | -422.4754 | 1.8370 | 0.8744 |
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| 0.6806 | 0.42 | 400 | 0.7040 | -1.3285 | -2.4190 | 0.7698 | 1.0904 | -503.6740 | -416.9630 | 1.2713 | 0.0992 |
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| 0.7129 | 0.52 | 500 | 0.6980 | -1.4621 | -2.5268 | 0.7440 | 1.0648 | -514.4609 | -430.3167 | 2.3343 | 1.4091 |
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| 0.6636 | 0.63 | 600 | 0.6877 | -1.3328 | -2.5188 | 0.75 | 1.1861 | -513.6627 | -417.3850 | 2.2082 | 0.7470 |
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| 0.6217 | 0.73 | 700 | 0.6762 | -1.8908 | -3.1786 | 0.7698 | 1.2878 | -579.6354 | -473.1887 | 3.8163 | 2.5932 |
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| 0.6418 | 0.84 | 800 | 0.6712 | -2.0993 | -3.4028 | 0.7679 | 1.3035 | -602.0607 | -494.0422 | 3.8655 | 2.6092 |
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| 0.6678 | 0.94 | 900 | 0.6716 | -2.0307 | -3.3233 | 0.7639 | 1.2926 | -594.1103 | -487.1844 | 3.7332 | 2.4518 |
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### Framework versions
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all_results.json
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config.json
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eval_results.json
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