closure_system_door_inne-bert-base-uncased
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: 1.7907
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: 7
- eval_batch_size: 7
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7321 | 1.0 | 2 | 2.5801 |
| 2.6039 | 2.0 | 4 | 2.0081 |
| 2.4556 | 3.0 | 6 | 2.3329 |
| 2.3587 | 4.0 | 8 | 2.4156 |
| 2.2565 | 5.0 | 10 | 2.0009 |
| 2.3489 | 6.0 | 12 | 1.7774 |
| 2.2622 | 7.0 | 14 | 2.2064 |
| 2.415 | 8.0 | 16 | 1.9671 |
| 2.1873 | 9.0 | 18 | 2.0729 |
| 2.2377 | 10.0 | 20 | 2.0052 |
| 2.352 | 11.0 | 22 | 1.9614 |
| 2.2347 | 12.0 | 24 | 2.2437 |
| 2.1113 | 13.0 | 26 | 1.7145 |
| 2.1939 | 14.0 | 28 | 1.5418 |
| 2.0645 | 15.0 | 30 | 2.1882 |
| 2.1499 | 16.0 | 32 | 2.0266 |
| 2.1432 | 17.0 | 34 | 2.3583 |
| 2.0656 | 18.0 | 36 | 2.3147 |
| 2.0348 | 19.0 | 38 | 2.2807 |
| 2.0502 | 20.0 | 40 | 1.7122 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
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