flan-t5-base-model
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: 2.7630
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: 0.002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0746 | 1.0421 | 50 | 3.0347 |
| 2.6159 | 2.0842 | 100 | 2.8789 |
| 2.4745 | 3.1263 | 150 | 2.7630 |
| 2.2318 | 4.1684 | 200 | 2.7733 |
| 2.1286 | 5.2105 | 250 | 2.7794 |
| 1.9425 | 6.2526 | 300 | 2.7768 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.5.1
- Tokenizers 0.21.0
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Base model
google/flan-t5-base