<!-- 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. -->
ec_classfication_0502_bert_base_uncased
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0262
- F1: 0.8132
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 59 | 0.5865 | 0.7238 |
| No log | 2.0 | 118 | 0.4017 | 0.8302 |
| No log | 3.0 | 177 | 0.4968 | 0.8182 |
| No log | 4.0 | 236 | 0.7651 | 0.7595 |
| No log | 5.0 | 295 | 0.6250 | 0.8276 |
| No log | 6.0 | 354 | 0.8580 | 0.7907 |
| No log | 7.0 | 413 | 0.8241 | 0.8182 |
| No log | 8.0 | 472 | 0.8875 | 0.8261 |
| 0.193 | 9.0 | 531 | 0.9314 | 0.8182 |
| 0.193 | 10.0 | 590 | 0.9188 | 0.8352 |
| 0.193 | 11.0 | 649 | 0.9721 | 0.8409 |
| 0.193 | 12.0 | 708 | 0.9929 | 0.8409 |
| 0.193 | 13.0 | 767 | 1.0092 | 0.8222 |
| 0.193 | 14.0 | 826 | 1.0261 | 0.8132 |
| 0.193 | 15.0 | 885 | 1.0262 | 0.8132 |
Framework versions
- Transformers 4.27.3
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.2
