flan-t5-small-gigatrue-layercut-D5
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: 2.1698
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: 0.0003
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6416 | 0.2030 | 3000 | 2.2210 |
| 2.5493 | 0.4059 | 6000 | 2.1990 |
| 2.5262 | 0.6089 | 9000 | 2.1853 |
| 2.5175 | 0.8119 | 12000 | 2.1791 |
| 2.5115 | 1.0148 | 15000 | 2.1753 |
| 2.5073 | 1.2178 | 18000 | 2.1723 |
| 2.505 | 1.4207 | 21000 | 2.1716 |
| 2.5018 | 1.6237 | 24000 | 2.1730 |
| 2.5013 | 1.8267 | 27000 | 2.1698 |
| 2.5016 | 2.0296 | 30000 | 2.1704 |
| 2.4996 | 2.2326 | 33000 | 2.1705 |
| 2.5016 | 2.4356 | 36000 | 2.1701 |
| 2.5006 | 2.6385 | 39000 | 2.1697 |
| 2.5013 | 2.8415 | 42000 | 2.1698 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.20.3