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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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- 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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base_model: mistralai/Mistral-7B-v0.1 |
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model-index: |
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- name: zephyr-7b-gpo-iter1 |
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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-gpo-iter1 |
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This model is a fine-tuned version of [DUAL-GPO/zephyr-7b-gpo-iter0](https://huggingface.co/DUAL-GPO/zephyr-7b-gpo-iter0) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0069 |
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- Rewards/chosen: 0.0025 |
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- Rewards/rejected: 0.0081 |
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- Rewards/accuracies: 0.4595 |
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- Rewards/margins: -0.0056 |
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- Logps/rejected: -272.5866 |
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- Logps/chosen: -298.8498 |
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- Logits/rejected: -2.1749 |
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- Logits/chosen: -2.3692 |
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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: 1 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 2 |
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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: 2 |
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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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| 0.0006 | 0.2 | 100 | 0.0031 | -0.0541 | -0.0467 | 0.4245 | -0.0074 | -278.0669 | -304.5065 | -2.1506 | -2.3436 | |
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| 0.0025 | 0.4 | 200 | 0.0033 | -0.0115 | -0.0107 | 0.4910 | -0.0008 | -274.4619 | -300.2420 | -2.1684 | -2.3612 | |
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| 0.0009 | 0.6 | 300 | 0.0030 | -0.0220 | -0.0216 | 0.4935 | -0.0004 | -275.5567 | -301.2960 | -2.1427 | -2.3360 | |
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| 0.0013 | 0.8 | 400 | 0.0034 | -0.0156 | -0.0142 | 0.4935 | -0.0014 | -274.8156 | -300.6561 | -2.1462 | -2.3405 | |
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| 0.0011 | 1.0 | 500 | 0.0037 | -0.0565 | -0.0502 | 0.4520 | -0.0063 | -278.4165 | -304.7457 | -2.1454 | -2.3392 | |
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| 0.0116 | 1.2 | 600 | 0.0049 | -0.0283 | -0.0229 | 0.4435 | -0.0054 | -275.6791 | -301.9266 | -2.1527 | -2.3449 | |
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| 0.015 | 1.4 | 700 | 0.0065 | -0.0261 | -0.0182 | 0.4450 | -0.0078 | -275.2170 | -301.7041 | -2.1650 | -2.3586 | |
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| 0.0009 | 1.6 | 800 | 0.0069 | 0.0079 | 0.0124 | 0.4720 | -0.0044 | -272.1540 | -298.3011 | -2.1746 | -2.3689 | |
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| 0.0109 | 1.8 | 900 | 0.0069 | 0.0024 | 0.0080 | 0.4570 | -0.0057 | -272.5880 | -298.8583 | -2.1739 | -2.3682 | |
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| 0.0015 | 2.0 | 1000 | 0.0069 | 0.0025 | 0.0081 | 0.4595 | -0.0056 | -272.5866 | -298.8498 | -2.1749 | -2.3692 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
