flan-t5-small-gigatrue-AI-D456
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: 2.5295
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 |
|---|---|---|---|
| 3.1317 | 0.2030 | 3000 | 2.5904 |
| 3.0056 | 0.4059 | 6000 | 2.5592 |
| 2.9796 | 0.6089 | 9000 | 2.5478 |
| 2.9712 | 0.8119 | 12000 | 2.5390 |
| 2.9638 | 1.0148 | 15000 | 2.5365 |
| 2.9598 | 1.2178 | 18000 | 2.5332 |
| 2.958 | 1.4207 | 21000 | 2.5318 |
| 2.9557 | 1.6237 | 24000 | 2.5322 |
| 2.9542 | 1.8267 | 27000 | 2.5293 |
| 2.9541 | 2.0296 | 30000 | 2.5293 |
| 2.9518 | 2.2326 | 33000 | 2.5298 |
| 2.955 | 2.4356 | 36000 | 2.5299 |
| 2.9542 | 2.6385 | 39000 | 2.5294 |
| 2.9536 | 2.8415 | 42000 | 2.5295 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.20.3