my_awesome_model2
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1414
- Accuracy: 0.9611
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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 23 | 0.1555 | 0.9667 |
| No log | 2.0 | 46 | 0.1414 | 0.9611 |
| No log | 3.0 | 69 | 0.2258 | 0.9667 |
| No log | 4.0 | 92 | 0.1910 | 0.9722 |
| No log | 5.0 | 115 | 0.1820 | 0.9722 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0
- Datasets 2.10.1
- Tokenizers 0.13.2