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: 4.1290
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 |
|---|---|---|---|
| No log | 1.0 | 7 | 26.1419 |
| 32.8739 | 2.0 | 14 | 18.2377 |
| 18.6434 | 3.0 | 21 | 9.7013 |
| 18.6434 | 4.0 | 28 | 5.2387 |
| 7.9784 | 5.0 | 35 | 4.7397 |
| 5.0883 | 6.0 | 42 | 4.5124 |
| 5.0883 | 7.0 | 49 | 4.3551 |
| 4.6154 | 8.0 | 56 | 4.2398 |
| 4.45 | 9.0 | 63 | 4.1604 |
| 4.3337 | 10.0 | 70 | 4.1290 |
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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google/flan-t5-base