my_awesome_qa_model
This model is a fine-tuned version of bert-base-uncased on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.6687
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 250 | 2.2079 |
| 2.4745 | 2.0 | 500 | 1.6112 |
| 2.4745 | 3.0 | 750 | 1.5901 |
| 0.9178 | 4.0 | 1000 | 1.6356 |
| 0.9178 | 5.0 | 1250 | 1.6687 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
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Model tree for FredNajjar/my_awesome_qa_model
Base model
google-bert/bert-base-uncased