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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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- generated_from_trainer |
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model-index: |
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- name: spin-margin2 |
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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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# spin-margin2 |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0010 |
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- Rewards/real: -0.7975 |
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- Rewards/generated: -20.4822 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 19.6846 |
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- Logps/generated: -303.8466 |
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- Logps/real: -141.0674 |
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- Logits/generated: -2.6068 |
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- Logits/real: -2.3492 |
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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: 4 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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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/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real | |
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|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:| |
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| 0.0043 | 0.19 | 100 | 0.0049 | 0.9120 | -9.6012 | 1.0 | 10.5132 | -195.0367 | -123.9721 | -2.7982 | -2.5652 | |
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| 0.0034 | 0.39 | 200 | 0.0024 | -0.0739 | -14.1834 | 1.0 | 14.1095 | -240.8593 | -133.8314 | -2.8109 | -2.5347 | |
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| 0.0007 | 0.58 | 300 | 0.0012 | -0.2381 | -16.9127 | 1.0 | 16.6746 | -268.1524 | -135.4731 | -2.7308 | -2.4046 | |
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| 0.0016 | 0.78 | 400 | 0.0010 | -1.1878 | -19.5719 | 1.0 | 18.3841 | -294.7439 | -144.9703 | -2.6559 | -2.3917 | |
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| 0.0001 | 0.97 | 500 | 0.0010 | -0.7975 | -20.4822 | 1.0 | 19.6846 | -303.8466 | -141.0674 | -2.6068 | -2.3492 | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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