flan-t5-base
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 16.1303
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: 9
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 3 | 39.6184 |
| No log | 2.0 | 6 | 29.3132 |
| No log | 3.0 | 9 | 24.3977 |
| 33.048 | 4.0 | 12 | 21.8596 |
| 33.048 | 5.0 | 15 | 20.0393 |
| 33.048 | 6.0 | 18 | 18.5343 |
| 21.4332 | 7.0 | 21 | 17.3204 |
| 21.4332 | 8.0 | 24 | 16.4903 |
| 21.4332 | 9.0 | 27 | 16.1303 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.21.0
- Downloads last month
- 4
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for Saharshdeshini/flan-t5-base
Base model
google/flan-t5-base