cv-qa-model
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0194
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.4757 | 1.0 | 156 | 3.1304 |
| 2.8728 | 2.0 | 312 | 1.8267 |
| 1.9891 | 3.0 | 468 | 1.2753 |
| 1.6409 | 4.0 | 624 | 1.0741 |
| 1.5526 | 5.0 | 780 | 1.0194 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0
- Datasets 4.0.0
- Tokenizers 0.22.0
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Base model
google/flan-t5-base