metadata
license: apache-2.0
tags:
- generated_from_trainer
base_model: bert-base-uncased
model-index:
- name: MTL-bert-base-uncased-ww
results: []
MTL-bert-base-uncased-ww
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: 2.5261
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: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2964 | 1.0 | 99 | 2.9560 |
| 3.0419 | 2.0 | 198 | 2.8336 |
| 2.8979 | 3.0 | 297 | 2.8009 |
| 2.8815 | 4.0 | 396 | 2.7394 |
| 2.8373 | 5.0 | 495 | 2.6813 |
| 2.741 | 6.0 | 594 | 2.6270 |
| 2.6877 | 7.0 | 693 | 2.5216 |
| 2.6823 | 8.0 | 792 | 2.5485 |
| 2.6326 | 9.0 | 891 | 2.5690 |
| 2.5976 | 10.0 | 990 | 2.6336 |
| 2.6009 | 11.0 | 1089 | 2.5919 |
| 2.5615 | 12.0 | 1188 | 2.4264 |
| 2.5826 | 13.0 | 1287 | 2.5562 |
| 2.5693 | 14.0 | 1386 | 2.5529 |
| 2.5494 | 15.0 | 1485 | 2.5300 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0