results
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4802
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 147 | 0.4424 |
| No log | 2.0 | 294 | 0.4278 |
| No log | 3.0 | 441 | 0.4246 |
| 0.493 | 4.0 | 588 | 0.4282 |
| 0.493 | 5.0 | 735 | 0.4263 |
| 0.493 | 6.0 | 882 | 0.4384 |
| 0.417 | 7.0 | 1029 | 0.4556 |
| 0.417 | 8.0 | 1176 | 0.4548 |
| 0.417 | 9.0 | 1323 | 0.4768 |
| 0.417 | 10.0 | 1470 | 0.4802 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1