t5-large-fft
This model is a fine-tuned version of google/flan-t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0427
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0725 | 0.2 | 500 | 0.1335 |
| 0.0884 | 0.4 | 1000 | 0.0830 |
| 0.0535 | 0.6 | 1500 | 0.0643 |
| 0.0713 | 0.8 | 2000 | 0.0449 |
| 0.0486 | 1.0 | 2500 | 0.0437 |
| 0.041 | 1.2 | 3000 | 0.0433 |
| 0.0478 | 1.4 | 3500 | 0.0430 |
| 0.0472 | 1.6 | 4000 | 0.0428 |
| 0.0461 | 1.8 | 4500 | 0.0427 |
| 0.0667 | 2.0 | 5000 | 0.0427 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for devcnn5/t5-large-fft
Base model
google/flan-t5-large