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--- |
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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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- trl |
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- dpo |
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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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--- |
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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-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 HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5283 |
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- Rewards/chosen: -0.0163 |
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- Rewards/rejected: -1.2467 |
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- Rewards/accuracies: 0.7738 |
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- Rewards/margins: 1.2304 |
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- Logps/rejected: -272.6863 |
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- Logps/chosen: -282.1169 |
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- Logits/rejected: -2.5360 |
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- Logits/chosen: -2.5900 |
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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-07 |
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- train_batch_size: 8 |
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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: 2 |
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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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- 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 | 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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| 0.5446 | 0.1047 | 100 | 0.5753 | 1.0111 | 0.3529 | 0.7242 | 0.6581 | -256.6898 | -271.8434 | -2.5161 | -2.5743 | |
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| 0.5475 | 0.2093 | 200 | 0.5464 | 0.4347 | -0.4824 | 0.7639 | 0.9172 | -265.0432 | -277.6068 | -2.5380 | -2.5923 | |
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| 0.5359 | 0.3140 | 300 | 0.5473 | 0.0697 | -1.0170 | 0.7579 | 1.0867 | -270.3889 | -281.2571 | -2.5066 | -2.5596 | |
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| 0.5228 | 0.4186 | 400 | 0.5321 | -0.2311 | -1.3065 | 0.7540 | 1.0754 | -273.2837 | -284.2652 | -2.5933 | -2.6471 | |
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| 0.5217 | 0.5233 | 500 | 0.5260 | 0.0143 | -1.2073 | 0.7877 | 1.2216 | -272.2919 | -281.8111 | -2.5195 | -2.5773 | |
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| 0.517 | 0.6279 | 600 | 0.5262 | -0.2922 | -1.4562 | 0.7698 | 1.1640 | -274.7808 | -284.8755 | -2.5183 | -2.5744 | |
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| 0.4766 | 0.7326 | 700 | 0.5279 | -0.0183 | -1.2936 | 0.7798 | 1.2753 | -273.1544 | -282.1366 | -2.5194 | -2.5751 | |
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| 0.4894 | 0.8373 | 800 | 0.5257 | -0.0567 | -1.2594 | 0.7778 | 1.2027 | -272.8127 | -282.5211 | -2.5311 | -2.5851 | |
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| 0.4722 | 0.9419 | 900 | 0.5280 | -0.0160 | -1.2503 | 0.7798 | 1.2343 | -272.7223 | -282.1141 | -2.5362 | -2.5901 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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