gmra_model_distilbert-base-uncased-distilled-squad_17082023T150913
This model is a fine-tuned version of distilbert-base-uncased-distilled-squad on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6179
- Accuracy: 0.2575
- F1: 0.0683
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 142 | 1.6182 | 0.2575 | 0.0683 |
| No log | 2.0 | 284 | 1.6184 | 0.2575 | 0.0683 |
| No log | 2.99 | 426 | 1.6182 | 0.2575 | 0.0683 |
| 1.6013 | 4.0 | 569 | 1.6181 | 0.2575 | 0.0683 |
| 1.6013 | 5.0 | 711 | 1.6182 | 0.2575 | 0.0683 |
| 1.6013 | 6.0 | 853 | 1.6179 | 0.2575 | 0.0683 |
| 1.6013 | 6.99 | 995 | 1.6180 | 0.2575 | 0.0683 |
| 1.6032 | 8.0 | 1138 | 1.6179 | 0.2575 | 0.0683 |
| 1.6032 | 9.0 | 1280 | 1.6177 | 0.2575 | 0.0683 |
| 1.6032 | 9.98 | 1420 | 1.6179 | 0.2575 | 0.0683 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3