my_awesome_qa_model
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: 1.2688
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 453 | 1.4328 |
| 1.7083 | 2.0 | 906 | 1.3416 |
| 1.3935 | 3.0 | 1359 | 1.3274 |
| 1.3314 | 4.0 | 1812 | 1.2877 |
| 1.271 | 5.0 | 2265 | 1.2760 |
| 1.232 | 6.0 | 2718 | 1.2679 |
| 1.1979 | 7.0 | 3171 | 1.2530 |
| 1.1726 | 8.0 | 3624 | 1.2804 |
| 1.1475 | 9.0 | 4077 | 1.2692 |
| 1.1213 | 10.0 | 4530 | 1.2688 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for bibibobo777/my_awesome_qa_model
Base model
distilbert/distilbert-base-uncased