<!-- 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. -->
bert-base-cased-finetuned-semeval2010-MLM
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8670
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2765 | 1.0 | 835 | 2.0755 |
| 2.0802 | 2.0 | 1670 | 2.0111 |
| 1.9886 | 3.0 | 2505 | 1.9652 |
| 1.9251 | 4.0 | 3340 | 1.9313 |
| 1.886 | 5.0 | 4175 | 1.9044 |
| 1.8474 | 6.0 | 5010 | 1.8817 |
| 1.8087 | 7.0 | 5845 | 1.8833 |
| 1.7943 | 8.0 | 6680 | 1.8800 |
| 1.7716 | 9.0 | 7515 | 1.8520 |
| 1.7674 | 10.0 | 8350 | 1.8522 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
