flan-t5-small-qa-9-qa-91
This model is a fine-tuned version of badokorach/flan-t5-small-qa-9 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1084
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: 4e-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 343 | 0.1041 |
| 0.0207 | 2.0 | 686 | 0.1041 |
| 0.0196 | 3.0 | 1029 | 0.1057 |
| 0.0196 | 4.0 | 1372 | 0.1052 |
| 0.0186 | 5.0 | 1715 | 0.1043 |
| 0.0173 | 6.0 | 2058 | 0.1050 |
| 0.0173 | 7.0 | 2401 | 0.1079 |
| 0.0165 | 8.0 | 2744 | 0.1068 |
| 0.0161 | 9.0 | 3087 | 0.1081 |
| 0.0161 | 10.0 | 3430 | 0.1084 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3