bert-base-uncased-issues-128
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: 1.2261
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1019 | 1.0 | 291 | 1.7007 |
| 1.6296 | 2.0 | 582 | 1.5268 |
| 1.4975 | 3.0 | 873 | 1.3602 |
| 1.394 | 4.0 | 1164 | 1.3275 |
| 1.3308 | 5.0 | 1455 | 1.2276 |
| 1.2843 | 6.0 | 1746 | 1.3580 |
| 1.2323 | 7.0 | 2037 | 1.3067 |
| 1.2034 | 8.0 | 2328 | 1.3410 |
| 1.167 | 9.0 | 2619 | 1.2192 |
| 1.1384 | 10.0 | 2910 | 1.1658 |
| 1.1276 | 11.0 | 3201 | 1.1392 |
| 1.1097 | 12.0 | 3492 | 1.1777 |
| 1.087 | 13.0 | 3783 | 1.2257 |
| 1.0729 | 14.0 | 4074 | 1.2102 |
| 1.073 | 15.0 | 4365 | 1.2205 |
| 1.0632 | 16.0 | 4656 | 1.2261 |
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
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Model tree for hravi/bert-base-uncased-issues-128
Base model
google-bert/bert-base-uncased