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--- |
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license: apache-2.0 |
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base_model: plaguss/zephyr-7b-spin-iter0-v0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: zephyr-7b-spin-iter1-v0 |
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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-spin-iter1-v0 |
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This model is a fine-tuned version of [plaguss/zephyr-7b-spin-iter0-v0](https://huggingface.co/plaguss/zephyr-7b-spin-iter0-v0) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0831 |
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- Rewards/real: 1.3037 |
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- Rewards/generated: -5.4434 |
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- Rewards/accuracies: 0.9792 |
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- Rewards/margins: 6.7471 |
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- Logps/generated: -545.0309 |
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- Logps/real: -272.3726 |
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- Logits/generated: -2.6844 |
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- Logits/real: -2.7197 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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: 2.0 |
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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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| 0.1827 | 0.49 | 25 | 0.1651 | 0.1714 | -3.3650 | 0.9688 | 3.5364 | -524.2469 | -283.6962 | -2.7482 | -2.7944 | |
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| 0.0462 | 0.97 | 50 | 0.0835 | 1.4823 | -4.4998 | 1.0 | 5.9821 | -535.5947 | -270.5871 | -2.6963 | -2.7356 | |
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| 0.0047 | 1.46 | 75 | 0.0837 | 1.3725 | -5.2500 | 0.9896 | 6.6225 | -543.0965 | -271.6846 | -2.6847 | -2.7211 | |
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| 0.0034 | 1.94 | 100 | 0.0831 | 1.3037 | -5.4434 | 0.9792 | 6.7471 | -545.0309 | -272.3726 | -2.6844 | -2.7197 | |
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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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