| --- |
| license: apache-2.0 |
| base_model: anandNakat/bart_math_solver |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: bart_math_solver |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # bart_math_solver |
|
|
| This model is a fine-tuned version of [anandNakat/bart_math_solver](https://huggingface.co/anandNakat/bart_math_solver) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7365 |
|
|
| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | No log | 1.0 | 221 | 0.6829 | |
| | No log | 2.0 | 442 | 0.4829 | |
| | 0.2857 | 3.0 | 663 | 1.2298 | |
| | 0.2857 | 4.0 | 884 | 0.4878 | |
| | 0.2399 | 5.0 | 1105 | 1.1191 | |
| | 0.2399 | 6.0 | 1326 | 0.6093 | |
| | 0.1495 | 7.0 | 1547 | 0.5928 | |
| | 0.1495 | 8.0 | 1768 | 0.5647 | |
| | 0.1495 | 9.0 | 1989 | 0.6989 | |
| | 0.0935 | 10.0 | 2210 | 0.7365 | |
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| ### Framework versions |
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|
| - Transformers 4.34.1 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.14.6 |
| - Tokenizers 0.14.1 |
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|
