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--- |
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license: other |
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base_model: MathSymbol/BasicSFT_1.8_Pretrain_Lightning |
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tags: |
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- llama-factory |
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- full |
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- generated_from_trainer |
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model-index: |
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- name: WordProblem |
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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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# WordProblem |
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This model is a fine-tuned version of [MathSymbol/BasicSFT_1.8_Pretrain_Lightning](https://huggingface.co/MathSymbol/BasicSFT_1.8_Pretrain_Lightning) on the WordProblems_SFT dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1677 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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: 500 |
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- num_epochs: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.1923 | 0.1645 | 1500 | 0.1849 | |
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| 0.176 | 0.3289 | 3000 | 0.1761 | |
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| 0.1736 | 0.4934 | 4500 | 0.1709 | |
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| 0.1688 | 0.6579 | 6000 | 0.1682 | |
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| 0.1689 | 0.8223 | 7500 | 0.1677 | |
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| 0.168 | 0.9868 | 9000 | 0.1677 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.19.1 |
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