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bart-large-mnli-aitools-11n
This model is a fine-tuned version of facebook/bart-large-mnli on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1504
- Accuracy: 0.9631
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.05 | 50 | 0.5899 | 0.9171 |
| No log | 0.1 | 100 | 0.2924 | 0.9171 |
| No log | 0.15 | 150 | 0.1300 | 0.9171 |
| No log | 0.21 | 200 | 0.3631 | 0.9447 |
| No log | 0.26 | 250 | 0.1954 | 0.9493 |
| No log | 0.31 | 300 | 0.2654 | 0.9447 |
| No log | 0.36 | 350 | 0.3464 | 0.9401 |
| No log | 0.41 | 400 | 0.1400 | 0.9585 |
| No log | 0.46 | 450 | 0.1686 | 0.9631 |
| 0.311 | 0.51 | 500 | 0.2399 | 0.9447 |
| 0.311 | 0.56 | 550 | 0.2273 | 0.9585 |
| 0.311 | 0.62 | 600 | 0.0956 | 0.9770 |
| 0.311 | 0.67 | 650 | 0.1788 | 0.9309 |
| 0.311 | 0.72 | 700 | 0.1840 | 0.9447 |
| 0.311 | 0.77 | 750 | 0.1828 | 0.9631 |
| 0.311 | 0.82 | 800 | 0.0765 | 0.9770 |
| 0.311 | 0.87 | 850 | 0.1851 | 0.9585 |
| 0.311 | 0.92 | 900 | 0.0854 | 0.9724 |
| 0.311 | 0.97 | 950 | 0.0783 | 0.9724 |
| 0.2123 | 1.03 | 1000 | 0.1504 | 0.9631 |
| 0.2123 | 1.08 | 1050 | 0.2845 | 0.9585 |
| 0.2123 | 1.13 | 1100 | 0.2655 | 0.9585 |
| 0.2123 | 1.18 | 1150 | 0.1718 | 0.9585 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
