65 lines
1.6 KiB
Markdown
65 lines
1.6 KiB
Markdown
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---
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library_name: transformers
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license: mit
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base_model: gpt2
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tags:
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- generated_from_trainer
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model-index:
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- name: math-gpt2-simple
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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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# math-gpt2-simple
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7100
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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: 3e-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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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- num_epochs: 5
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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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| 2.272 | 0.7937 | 50 | 2.0902 |
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| 2.1191 | 1.5873 | 100 | 1.8907 |
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| 1.9521 | 2.3810 | 150 | 1.7958 |
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| 1.9319 | 3.1746 | 200 | 1.7425 |
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| 1.8994 | 3.9683 | 250 | 1.7167 |
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| 1.8937 | 4.7619 | 300 | 1.7100 |
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.5.1+cu124
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- Datasets 3.3.2
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- Tokenizers 0.21.0
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