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squad_a_r_train5_epoch_20
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0008
- Accuracy: 0.9994
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6038 | 1.0 | 1188 | 0.5918 | 0.6938 |
| 0.5954 | 2.0 | 2376 | 0.6000 | 0.6957 |
| 0.5713 | 3.0 | 3564 | 0.5453 | 0.7342 |
| 0.5346 | 4.0 | 4752 | 0.4763 | 0.7841 |
| 0.4804 | 5.0 | 5940 | 0.3846 | 0.8298 |
| 0.4057 | 6.0 | 7128 | 0.2845 | 0.8835 |
| 0.3303 | 7.0 | 8316 | 0.1906 | 0.9259 |
| 0.2739 | 8.0 | 9504 | 0.1240 | 0.9564 |
| 0.2121 | 9.0 | 10692 | 0.0994 | 0.9714 |
| 0.1821 | 10.0 | 11880 | 0.0958 | 0.9756 |
| 0.1639 | 11.0 | 13068 | 0.0596 | 0.9853 |
| 0.1361 | 12.0 | 14256 | 0.0407 | 0.9895 |
| 0.1116 | 13.0 | 15444 | 0.0318 | 0.9924 |
| 0.0872 | 14.0 | 16632 | 0.0216 | 0.9954 |
| 0.072 | 15.0 | 17820 | 0.0125 | 0.9975 |
| 0.0648 | 16.0 | 19008 | 0.0167 | 0.9960 |
| 0.0537 | 17.0 | 20196 | 0.0126 | 0.9979 |
| 0.0404 | 18.0 | 21384 | 0.0045 | 0.9992 |
| 0.027 | 19.0 | 22572 | 0.0033 | 0.9987 |
| 0.0274 | 20.0 | 23760 | 0.0008 | 0.9994 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
