results
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: 1.3798
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 |
|---|---|---|---|
| 2.9101 | 1.0 | 13 | 2.3228 |
| 2.5355 | 2.0 | 26 | 2.0532 |
| 2.292 | 3.0 | 39 | 1.8681 |
| 2.1226 | 4.0 | 52 | 1.7223 |
| 1.9875 | 5.0 | 65 | 1.6087 |
| 1.9175 | 6.0 | 78 | 1.5213 |
| 1.8036 | 7.0 | 91 | 1.4587 |
| 1.7685 | 8.0 | 104 | 1.4134 |
| 1.6168 | 9.0 | 117 | 1.3881 |
| 1.6603 | 10.0 | 130 | 1.3798 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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Base model
google/flan-t5-base