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--- |
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license: apache-2.0 |
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library_name: peft |
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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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base_model: mistralai/Mistral-7B-v0.1 |
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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 |
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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 |
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-sft-qlora) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4399 |
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- Rewards/chosen: -3.1655 |
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- Rewards/rejected: -5.0200 |
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- Rewards/accuracies: 0.3398 |
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- Rewards/margins: 1.8544 |
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- Logps/rejected: -579.1896 |
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- Logps/chosen: -380.4651 |
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- Logits/rejected: 4.5948 |
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- Logits/chosen: 4.4604 |
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- Use Label: 6575.7188 |
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- Pred Label: 2212.2812 |
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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-06 |
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- train_batch_size: 4 |
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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: 4 |
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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 | Use Label | Pred Label | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:| |
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| 0.6535 | 0.21 | 100 | 0.6432 | -0.2049 | -0.3593 | 0.3516 | 0.1544 | -113.1259 | -84.4063 | -2.0537 | -2.0656 | 1713.5 | 18.5 | |
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| 0.507 | 0.42 | 200 | 0.5048 | -1.6723 | -2.3466 | 0.3594 | 0.6743 | -311.8494 | -231.1388 | 2.1626 | 2.0915 | 3214.5625 | 373.4375 | |
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| 0.4799 | 0.63 | 300 | 0.4885 | -1.7906 | -2.6624 | 0.3359 | 0.8718 | -343.4285 | -242.9698 | 3.2225 | 3.1511 | 4474.75 | 969.25 | |
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| 0.4443 | 0.84 | 400 | 0.4405 | -3.0809 | -4.8915 | 0.3438 | 1.8106 | -566.3419 | -371.9976 | 4.5207 | 4.3874 | 5649.7188 | 1650.2812 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.38.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
