mobilebert_100exs_20timesteps
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: 6038.2681
- Accuracy: 0.4
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-06
- 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 | 13 | 7673916.0 | 0.4 |
| No log | 2.0 | 26 | 6584108.5 | 0.4 |
| No log | 3.0 | 39 | 5544034.0 | 0.4 |
| No log | 4.0 | 52 | 4472702.0 | 0.4 |
| No log | 5.0 | 65 | 3472884.5 | 0.4 |
| No log | 6.0 | 78 | 2438114.0 | 0.4 |
| No log | 7.0 | 91 | 1419238.5 | 0.4 |
| No log | 8.0 | 104 | 339111.1875 | 0.4 |
| No log | 9.0 | 117 | 114032.0781 | 0.4 |
| No log | 10.0 | 130 | 56265.6758 | 0.4 |
| No log | 11.0 | 143 | 28542.5312 | 0.4 |
| No log | 12.0 | 156 | 12412.2344 | 0.4 |
| No log | 13.0 | 169 | 8272.7559 | 0.4 |
| No log | 14.0 | 182 | 6995.5869 | 0.4 |
| No log | 15.0 | 195 | 6293.6924 | 0.4 |
| No log | 16.0 | 208 | 6038.2681 | 0.4 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2