|
--- |
|
license: gpl-3.0 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- matthews_correlation |
|
model-index: |
|
- name: IceBERT-finetuned-iec-sentence |
|
results: [] |
|
--- |
|
|
|
<!-- 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](https://huggingface.co/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 |
|
|
