flan-t5-small-gigatrue-layercut-D34567
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: 3.5359
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 |
|---|---|---|---|
| 4.3671 | 0.2030 | 3000 | 3.6524 |
| 4.1172 | 0.4059 | 6000 | 3.5797 |
| 4.0808 | 0.6089 | 9000 | 3.5566 |
| 4.0681 | 0.8119 | 12000 | 3.5477 |
| 4.0631 | 1.0148 | 15000 | 3.5429 |
| 4.0603 | 1.2178 | 18000 | 3.5391 |
| 4.057 | 1.4207 | 21000 | 3.5384 |
| 4.0546 | 1.6237 | 24000 | 3.5375 |
| 4.0542 | 1.8267 | 27000 | 3.5366 |
| 4.0539 | 2.0296 | 30000 | 3.5363 |
| 4.0537 | 2.2326 | 33000 | 3.5361 |
| 4.0553 | 2.4356 | 36000 | 3.5360 |
| 4.0539 | 2.6385 | 39000 | 3.5361 |
| 4.0542 | 2.8415 | 42000 | 3.5359 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.20.3
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Base model
google/flan-t5-small