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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: 0.4929 |
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- Rewards/chosen: 21.1860 |
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- Rewards/rejected: 6.2518 |
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- Rewards/accuracies: 0.7344 |
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- Rewards/margins: 14.9342 |
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- Logps/rejected: -256.4154 |
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- Logps/chosen: -241.4075 |
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- Logits/rejected: -2.7091 |
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- Logits/chosen: -2.7366 |
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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: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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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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| 0.5187 | 0.21 | 100 | 0.5296 | 19.0644 | 9.0310 | 0.7227 | 10.0334 | -253.6362 | -243.5290 | -2.7384 | -2.7638 | |
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| 0.508 | 0.42 | 200 | 0.5006 | 20.6504 | 7.0237 | 0.7266 | 13.6267 | -255.6435 | -241.9431 | -2.7569 | -2.7826 | |
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| 0.4808 | 0.63 | 300 | 0.4966 | 20.8183 | 6.9540 | 0.7227 | 13.8643 | -255.7132 | -241.7751 | -2.7115 | -2.7378 | |
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| 0.4835 | 0.84 | 400 | 0.4917 | 21.2230 | 6.3692 | 0.7344 | 14.8539 | -256.2980 | -241.3705 | -2.7037 | -2.7315 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.2 |
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