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--- |
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base_model: hllj/zephyr-7b-beta-vi-math |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: sft-zephyr-7b-beta-v2 |
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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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# sft-zephyr-7b-beta-v2 |
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This model is a fine-tuned version of [hllj/zephyr-7b-beta-vi-math](https://huggingface.co/hllj/zephyr-7b-beta-vi-math) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4432 |
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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-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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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: 0.05 |
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- num_epochs: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.3943 | 0.35 | 500 | 0.4903 | |
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| 0.3796 | 0.69 | 1000 | 0.4698 | |
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| 0.353 | 1.04 | 1500 | 0.4521 | |
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| 0.3173 | 1.39 | 2000 | 0.4463 | |
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| 0.3276 | 1.73 | 2500 | 0.4431 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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