mobilebert_500exs_10timesteps_run0
This model is a fine-tuned version of google/mobilebert-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7313
- Accuracy: 0.48
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 63 | 0.7190 | 0.53 |
| No log | 2.0 | 126 | 0.7219 | 0.47 |
| No log | 3.0 | 189 | 0.6946 | 0.53 |
| No log | 4.0 | 252 | 0.7081 | 0.46 |
| No log | 5.0 | 315 | 0.7062 | 0.47 |
| No log | 6.0 | 378 | 0.7014 | 0.47 |
| No log | 7.0 | 441 | 0.7058 | 0.46 |
| 70646.992 | 8.0 | 504 | 0.6969 | 0.54 |
| 70646.992 | 9.0 | 567 | 0.7082 | 0.44 |
| 70646.992 | 10.0 | 630 | 0.8435 | 0.47 |
| 70646.992 | 11.0 | 693 | 0.7574 | 0.47 |
| 70646.992 | 12.0 | 756 | 0.6926 | 0.55 |
| 70646.992 | 13.0 | 819 | 0.7150 | 0.47 |
| 70646.992 | 14.0 | 882 | 0.7133 | 0.51 |
| 70646.992 | 15.0 | 945 | 0.7492 | 0.47 |
| 0.6741 | 16.0 | 1008 | 0.7313 | 0.48 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2