mdeberta-idkmrc-webis
This model is a fine-tuned version of intanm/mdeberta-idkmrc on the None dataset.
It achieves the following results on the evaluation set:
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: 10
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
| No log |
1.0 |
200 |
2.6976 |
| No log |
2.0 |
400 |
2.5737 |
| 2.6386 |
3.0 |
600 |
2.7718 |
| 2.6386 |
4.0 |
800 |
2.9322 |
| 1.4039 |
5.0 |
1000 |
3.1783 |
| 1.4039 |
6.0 |
1200 |
3.6786 |
| 1.4039 |
7.0 |
1400 |
3.8078 |
| 0.7215 |
8.0 |
1600 |
4.0788 |
| 0.7215 |
9.0 |
1800 |
4.2980 |
| 0.4571 |
10.0 |
2000 |
4.3722 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
