distilbert-base-uncased-finetuned-DouRC
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: 4.6662
- Exact Match: 0.05
- F1: 0.0270
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: 50
- eval_batch_size: 50
- 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 | Exact Match | F1 |
|---|---|---|---|---|---|
| 5.6355 | 1.0 | 10 | 5.3658 | 0.05 | 0.0264 |
| 5.083 | 2.0 | 20 | 4.9659 | 0.035 | 0.0164 |
| 4.6944 | 3.0 | 30 | 4.7939 | 0.03 | 0.0129 |
| 4.4803 | 4.0 | 40 | 4.6992 | 0.04 | 0.0207 |
| 4.389 | 5.0 | 50 | 4.6662 | 0.05 | 0.0270 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for suthanhcong/distilbert-base-uncased-finetuned-DouRC
Base model
distilbert/distilbert-base-uncased