my_awesome_qa_model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3445
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.903 | 1.0 | 500 | 4.2644 |
| 4.0823 | 2.0 | 1000 | 3.0521 |
| 3.1786 | 3.0 | 1500 | 2.2772 |
| 2.58 | 4.0 | 2000 | 1.9238 |
| 2.2254 | 5.0 | 2500 | 1.7344 |
| 2.014 | 6.0 | 3000 | 1.6439 |
| 1.856 | 7.0 | 3500 | 1.5438 |
| 1.7535 | 8.0 | 4000 | 1.4824 |
| 1.6585 | 9.0 | 4500 | 1.4340 |
| 1.6097 | 10.0 | 5000 | 1.4029 |
| 1.5742 | 11.0 | 5500 | 1.3768 |
| 1.5231 | 12.0 | 6000 | 1.3546 |
| 1.4916 | 13.0 | 6500 | 1.3463 |
| 1.4553 | 14.0 | 7000 | 1.3435 |
| 1.4392 | 15.0 | 7500 | 1.3445 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Suhaib-27/my_awesome_qa_model
Base model
google-t5/t5-small