<!-- 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. -->
IceBERT-finetuned-iec-sentence
This model is a fine-tuned version of vesteinn/IceBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4438
- Matthews Correlation: 0.6062
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: 128
- eval_batch_size: 128
- 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 | Matthews Correlation |
|---|---|---|---|---|
| No log | 1.0 | 455 | 0.5283 | 0.4755 |
| 0.5696 | 2.0 | 910 | 0.4889 | 0.5272 |
| 0.4898 | 3.0 | 1365 | 0.4508 | 0.5793 |
| 0.4508 | 4.0 | 1820 | 0.4340 | 0.6042 |
| 0.4153 | 5.0 | 2275 | 0.4438 | 0.6062 |
Framework versions
- Transformers 4.12.3
- Pytorch 1.8.0
- Datasets 1.15.1
- Tokenizers 0.10.3
