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flan-t5-small-qa-9
This model is a fine-tuned version of badokorach/flan-t5-small-qa on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0989
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: 3e-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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 305 | 0.0747 |
| 0.061 | 2.0 | 610 | 0.0791 |
| 0.061 | 3.0 | 915 | 0.0798 |
| 0.052 | 4.0 | 1220 | 0.0845 |
| 0.0481 | 5.0 | 1525 | 0.0807 |
| 0.0481 | 6.0 | 1830 | 0.0837 |
| 0.0443 | 7.0 | 2135 | 0.0888 |
| 0.0443 | 8.0 | 2440 | 0.0890 |
| 0.0413 | 9.0 | 2745 | 0.0869 |
| 0.0381 | 10.0 | 3050 | 0.0905 |
| 0.0381 | 11.0 | 3355 | 0.0903 |
| 0.0356 | 12.0 | 3660 | 0.0900 |
| 0.0356 | 13.0 | 3965 | 0.0915 |
| 0.0341 | 14.0 | 4270 | 0.0937 |
| 0.0325 | 15.0 | 4575 | 0.0949 |
| 0.0325 | 16.0 | 4880 | 0.0943 |
| 0.0306 | 17.0 | 5185 | 0.0953 |
| 0.0306 | 18.0 | 5490 | 0.0948 |
| 0.0301 | 19.0 | 5795 | 0.0966 |
| 0.0288 | 20.0 | 6100 | 0.0969 |
| 0.0288 | 21.0 | 6405 | 0.0976 |
| 0.0279 | 22.0 | 6710 | 0.0987 |
| 0.0275 | 23.0 | 7015 | 0.0984 |
| 0.0275 | 24.0 | 7320 | 0.0975 |
| 0.027 | 25.0 | 7625 | 0.0979 |
| 0.027 | 26.0 | 7930 | 0.0984 |
| 0.0261 | 27.0 | 8235 | 0.0991 |
| 0.026 | 28.0 | 8540 | 0.0992 |
| 0.026 | 29.0 | 8845 | 0.0990 |
| 0.0259 | 30.0 | 9150 | 0.0989 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3
