<!-- 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-uncased-finetuned-detests-02-11-2022
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0794
- F1: 0.5455
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: 64
- eval_batch_size: 64
- 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 | F1 |
|---|---|---|---|---|
| 0.014 | 0.64 | 25 | 0.6229 | 0.5536 |
| 0.0698 | 1.28 | 50 | 0.6996 | 0.5907 |
| 0.0173 | 1.92 | 75 | 0.7531 | 0.5882 |
| 0.0032 | 2.56 | 100 | 0.8054 | 0.4928 |
| 0.0087 | 3.21 | 125 | 0.9557 | 0.5735 |
| 0.0028 | 3.85 | 150 | 0.8859 | 0.5352 |
| 0.013 | 4.49 | 175 | 0.9674 | 0.5536 |
| 0.0031 | 5.13 | 200 | 0.9073 | 0.5691 |
| 0.0032 | 5.77 | 225 | 0.9253 | 0.5439 |
| 0.0483 | 6.41 | 250 | 0.9705 | 0.5837 |
| 0.0323 | 7.05 | 275 | 1.0368 | 0.5824 |
| 0.0019 | 7.69 | 300 | 1.0221 | 0.5520 |
| 0.0256 | 8.33 | 325 | 1.0419 | 0.5523 |
| 0.0319 | 8.97 | 350 | 1.0764 | 0.5425 |
| 0.0125 | 9.62 | 375 | 1.0794 | 0.5455 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
