IceBERT-finetuned-iec-sentence-bs16
This model is a fine-tuned version of vesteinn/IceBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2508
- Matthews Correlation: 0.8169
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.5278 | 1.0 | 3640 | 0.4777 | 0.5396 |
| 0.4648 | 2.0 | 7280 | 0.3886 | 0.6437 |
| 0.3807 | 3.0 | 10920 | 0.3478 | 0.7060 |
| 0.3061 | 4.0 | 14560 | 0.2523 | 0.8083 |
| 0.2477 | 5.0 | 18200 | 0.2508 | 0.8169 |
Framework versions
- Transformers 4.12.3
- Pytorch 1.8.0
- Datasets 1.15.1
- Tokenizers 0.10.3
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Base model
vesteinn/IceBERT