quote-model-delta
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: 0.2186
- Precision: 0.8199
- Recall: 0.9167
- F1: 0.8656
- Accuracy: 0.9309
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.3956 | 1.0 | 976 | 0.2257 | 0.8077 | 0.9181 | 0.8594 | 0.9280 |
| 0.184 | 2.0 | 1952 | 0.2180 | 0.8188 | 0.9212 | 0.8670 | 0.9303 |
| 0.1612 | 3.0 | 2928 | 0.2186 | 0.8199 | 0.9167 | 0.8656 | 0.9309 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3