flan-t5-base
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 8.3404
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: 0.1
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 7 | 11.5141 |
| 9.9214 | 2.0 | 14 | 24.6259 |
| 23.9756 | 3.0 | 21 | 12.2845 |
| 23.9756 | 4.0 | 28 | 16.5257 |
| 13.7829 | 5.0 | 35 | 17.2397 |
| 17.1162 | 6.0 | 42 | 12.8686 |
| 17.1162 | 7.0 | 49 | 10.5263 |
| 12.4525 | 8.0 | 56 | 8.8334 |
| 9.6887 | 9.0 | 63 | 8.4200 |
| 9.0533 | 10.0 | 70 | 8.3404 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0
- Downloads last month
- 3
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for Satwika2007/flan-t5-base
Base model
google/flan-t5-base