Flant5_Offers
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0330
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0528 | 1.0 | 1125 | 0.0359 |
| 0.0446 | 2.0 | 2250 | 0.0337 |
| 0.0421 | 3.0 | 3375 | 0.0331 |
| 0.0413 | 4.0 | 4500 | 0.0330 |
| 0.0389 | 5.0 | 5625 | 0.0330 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for GalalEwida/Flant5_Offers
Base model
google/flan-t5-small