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--- |
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library_name: transformers |
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base_model: tbs17/MathBERT |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: tbs17-MathBERT-Math-Classifier |
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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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# tbs17-MathBERT-Math-Classifier |
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This model is a fine-tuned version of [tbs17/MathBERT](https://huggingface.co/tbs17/MathBERT) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9505 |
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- Micro F1: 0.8437 |
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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: 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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- num_devices: 2 |
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- total_train_batch_size: 8 |
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- total_eval_batch_size: 8 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 8 |
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- mixed_precision_training: Native AMP |
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- label_smoothing_factor: 0.1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Micro F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.2886 | 1.0 | 1083 | 0.8944 | 0.8051 | |
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| 0.8314 | 2.0 | 2166 | 0.8812 | 0.8182 | |
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| 0.6888 | 3.0 | 3249 | 0.8701 | 0.8411 | |
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| 0.598 | 4.0 | 4332 | 0.9151 | 0.8352 | |
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| 0.5407 | 5.0 | 5415 | 0.9424 | 0.8339 | |
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| 0.5081 | 6.0 | 6498 | 0.9387 | 0.8457 | |
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| 0.4908 | 7.0 | 7581 | 0.9565 | 0.8424 | |
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| 0.4857 | 8.0 | 8664 | 0.9505 | 0.8437 | |
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### Framework versions |
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- Transformers 4.51.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.0 |
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