squad_distilbert
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5411
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: 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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2592 | 1.0 | 2738 | 1.1407 |
| 0.9254 | 2.0 | 5476 | 1.1297 |
| 0.7153 | 3.0 | 8214 | 1.1560 |
| 0.5814 | 4.0 | 10952 | 1.2990 |
| 0.4528 | 5.0 | 13690 | 1.4225 |
| 0.3592 | 6.0 | 16428 | 1.5411 |
| 0.2932 | 7.0 | 19166 | 1.6802 |
| 0.2383 | 8.0 | 21904 | 1.7984 |
| 0.1898 | 9.0 | 24642 | 1.9599 |
| 0.1553 | 10.0 | 27380 | 2.1424 |
| 0.1297 | 11.0 | 30118 | 2.2808 |
| 0.1074 | 12.0 | 32856 | 2.3198 |
| 0.0922 | 13.0 | 35594 | 2.3774 |
| 0.08 | 14.0 | 38332 | 2.5194 |
| 0.0678 | 15.0 | 41070 | 2.5411 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for katxtong/squad_distilbert
Base model
distilbert/distilbert-base-uncased