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--- |
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license: apache-2.0 |
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base_model: tanliboy/zephyr-qwen2-7b-sft |
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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-qwen2-7b-dpo |
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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-qwen2-7b-dpo |
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This model is a fine-tuned version of [tanliboy/zephyr-qwen2-7b-sft](https://huggingface.co/tanliboy/zephyr-qwen2-7b-sft) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5492 |
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- Rewards/chosen: -0.3377 |
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- Rewards/rejected: -0.7347 |
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- Rewards/accuracies: 0.7120 |
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- Rewards/margins: 0.3970 |
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- Logps/rejected: -339.1164 |
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- Logps/chosen: -334.2959 |
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- Logits/rejected: 0.0096 |
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- Logits/chosen: 0.1430 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 8 |
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- total_train_batch_size: 128 |
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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: 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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| 0.6439 | 0.2094 | 100 | 0.6410 | -0.0729 | -0.1774 | 0.6280 | 0.1045 | -283.3870 | -307.8225 | -0.0798 | 0.0658 | |
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| 0.5947 | 0.4187 | 200 | 0.5743 | -0.3018 | -0.6030 | 0.6800 | 0.3013 | -325.9524 | -330.7078 | -0.0418 | 0.1044 | |
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| 0.5465 | 0.6281 | 300 | 0.5582 | -0.2623 | -0.6201 | 0.7080 | 0.3578 | -327.6540 | -326.7564 | 0.0043 | 0.1374 | |
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| 0.5513 | 0.8375 | 400 | 0.5497 | -0.3456 | -0.7435 | 0.7040 | 0.3979 | -340.0029 | -335.0901 | 0.0097 | 0.1434 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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