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: 11.7791
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: 0.001
- 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 | 15.7502 |
| 13.0573 | 2.0 | 14 | 16.8990 |
| 14.1682 | 3.0 | 21 | 14.6114 |
| 14.1682 | 4.0 | 28 | 17.3923 |
| 14.096 | 5.0 | 35 | 17.4484 |
| 15.9513 | 6.0 | 42 | 11.9842 |
| 15.9513 | 7.0 | 49 | 11.7837 |
| 14.357 | 8.0 | 56 | 11.8508 |
| 13.9562 | 9.0 | 63 | 12.0247 |
| 13.9869 | 10.0 | 70 | 11.7791 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0
- Downloads last month
- 2
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for premjain7/flan-t5-base
Base model
google/flan-t5-base