QA
This model is a fine-tuned version of google-t5/t5-small on the Squad V2 Dataset. It achieves the following results on the evaluation set:
- Loss: 1.2978
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 |
|---|---|---|---|
| 1.6544 | 1.0 | 8321 | 1.4161 |
| 1.47 | 2.0 | 16642 | 1.3316 |
| 1.4079 | 3.0 | 24963 | 1.2978 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Inference Providers
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Model tree for DiDiR6/T5-QA
Base model
google-t5/t5-small