bart_math_solver
This model is a fine-tuned version of anandNakat/bart_math_solver on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7365
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
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 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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