flan-t5-small-qa-91
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0727
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1207 | 1.0 | 500 | 0.0685 |
| 0.1176 | 2.0 | 1000 | 0.0693 |
| 0.116 | 3.0 | 1500 | 0.0696 |
| 0.1152 | 4.0 | 2000 | 0.0709 |
| 0.1138 | 5.0 | 2500 | 0.0703 |
| 0.1134 | 6.0 | 3000 | 0.0717 |
| 0.1125 | 7.0 | 3500 | 0.0707 |
| 0.1119 | 8.0 | 4000 | 0.0710 |
| 0.1115 | 9.0 | 4500 | 0.0717 |
| 0.1113 | 10.0 | 5000 | 0.0713 |
| 0.111 | 11.0 | 5500 | 0.0721 |
| 0.1107 | 12.0 | 6000 | 0.0726 |
| 0.1106 | 13.0 | 6500 | 0.0721 |
| 0.111 | 14.0 | 7000 | 0.0720 |
| 0.1108 | 15.0 | 7500 | 0.0721 |
| 0.1106 | 16.0 | 8000 | 0.0722 |
| 0.1104 | 17.0 | 8500 | 0.0729 |
| 0.1102 | 18.0 | 9000 | 0.0727 |
| 0.1101 | 19.0 | 9500 | 0.0727 |
| 0.11 | 20.0 | 10000 | 0.0727 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3