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--- |
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license: apache-2.0 |
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base_model: mosaicml/mpt-7b-instruct |
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tags: |
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- trl |
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- dpo |
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- generated_from_trainer |
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model-index: |
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- name: mpt_1000_STEPS_1e8_rate_03_beta_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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# mpt_1000_STEPS_1e8_rate_03_beta_DPO |
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This model is a fine-tuned version of [mosaicml/mpt-7b-instruct](https://huggingface.co/mosaicml/mpt-7b-instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6941 |
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- Rewards/chosen: -1.2875 |
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- Rewards/rejected: -1.6132 |
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- Rewards/accuracies: 0.6154 |
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- Rewards/margins: 0.3257 |
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- Logps/rejected: -24.7839 |
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- Logps/chosen: -23.3672 |
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- Logits/rejected: 14.1648 |
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- Logits/chosen: 14.1681 |
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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: 1e-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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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_steps: 100 |
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- training_steps: 1000 |
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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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| 0.7473 | 0.1 | 100 | 0.6927 | 0.1811 | 0.1159 | 0.5582 | 0.0651 | -21.3256 | -20.4301 | 14.3166 | 14.3195 | |
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| 0.7098 | 0.2 | 200 | 0.7624 | 0.6571 | 0.5345 | 0.5714 | 0.1226 | -20.4884 | -19.4780 | 14.1537 | 14.1566 | |
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| 0.7516 | 0.29 | 300 | 0.7505 | -0.8487 | -1.0927 | 0.5429 | 0.2440 | -23.7428 | -22.4895 | 14.5590 | 14.5620 | |
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| 0.7762 | 0.39 | 400 | 0.7476 | -2.2343 | -2.4798 | 0.5692 | 0.2455 | -26.5171 | -25.2608 | 14.0064 | 14.0094 | |
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| 0.8328 | 0.49 | 500 | 0.7228 | -1.5283 | -1.7877 | 0.5736 | 0.2594 | -25.1329 | -23.8488 | 14.1811 | 14.1843 | |
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| 0.625 | 0.59 | 600 | 0.7006 | -1.3183 | -1.6353 | 0.5978 | 0.3170 | -24.8281 | -23.4288 | 14.3453 | 14.3486 | |
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| 0.7164 | 0.68 | 700 | 0.7015 | -1.2944 | -1.6029 | 0.6022 | 0.3084 | -24.7632 | -23.3811 | 14.2239 | 14.2271 | |
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| 0.6844 | 0.78 | 800 | 0.6985 | -1.2758 | -1.5914 | 0.6198 | 0.3157 | -24.7403 | -23.3437 | 14.1630 | 14.1663 | |
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| 0.6996 | 0.88 | 900 | 0.6971 | -1.2896 | -1.6092 | 0.6110 | 0.3196 | -24.7758 | -23.3713 | 14.1673 | 14.1706 | |
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| 0.6352 | 0.98 | 1000 | 0.6941 | -1.2875 | -1.6132 | 0.6154 | 0.3257 | -24.7839 | -23.3672 | 14.1648 | 14.1681 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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