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: 0.6394
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 |
|---|---|---|---|
| 22.0968 | 1.0 | 14 | 5.2521 |
| 7.6518 | 2.0 | 28 | 4.4057 |
| 4.3047 | 3.0 | 42 | 3.7007 |
| 3.7613 | 4.0 | 56 | 1.8596 |
| 2.1668 | 5.0 | 70 | 1.1046 |
| 1.7049 | 6.0 | 84 | 0.8782 |
| 1.3574 | 7.0 | 98 | 0.7593 |
| 1.0243 | 8.0 | 112 | 0.6968 |
| 0.9423 | 9.0 | 126 | 0.6459 |
| 0.853 | 10.0 | 140 | 0.6394 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.21.0
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Base model
google/flan-t5-base