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test_headline_qa
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: 4.9920
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: 3
- eval_batch_size: 3
- seed: 42
- 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 |
|---|---|---|---|
| No log | 1.0 | 2 | 5.7992 |
| No log | 2.0 | 4 | 5.7051 |
| No log | 3.0 | 6 | 5.6068 |
| No log | 4.0 | 8 | 5.5043 |
| No log | 5.0 | 10 | 5.3968 |
| No log | 6.0 | 12 | 5.2848 |
| No log | 7.0 | 14 | 5.1784 |
| No log | 8.0 | 16 | 5.0876 |
| No log | 9.0 | 18 | 5.0222 |
| No log | 10.0 | 20 | 4.9920 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
