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--- |
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library_name: transformers |
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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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- alignment-handbook |
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- trl |
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- sft |
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- generated_from_trainer |
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- trl |
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- sft |
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- generated_from_trainer |
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datasets: |
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- EunsuKim/GSM8K |
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model-index: |
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- name: zephyr-7b-math-case-8-fixed |
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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-math-case-8-fixed |
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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 EunsuKim/GSM8K dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0279 |
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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-05 |
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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: cosine |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.0201 | 1.0 | 4 | 0.8702 | |
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| 0.9576 | 2.0 | 8 | 0.6513 | |
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| 0.7027 | 3.0 | 12 | 0.4668 | |
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| 0.4836 | 4.0 | 16 | 0.2752 | |
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| 0.2544 | 5.0 | 20 | 0.1434 | |
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| 0.2544 | 6.0 | 24 | 0.0726 | |
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| 0.109 | 7.0 | 28 | 0.0441 | |
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| 0.0544 | 8.0 | 32 | 0.0341 | |
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| 0.0364 | 9.0 | 36 | 0.0290 | |
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| 0.0289 | 10.0 | 40 | 0.0279 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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