distilbert-qasports-basketball
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: 0.4575
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 |
|---|---|---|---|
| 0.5621 | 1.0 | 7612 | 0.4914 |
| 0.3954 | 2.0 | 15224 | 0.4416 |
| 0.2641 | 3.0 | 22836 | 0.4575 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.4.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for laurafcamargos/distilbert-qasports-basketball
Base model
distilbert/distilbert-base-uncased