llm
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: 4.7087
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: 1e-05
- 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 7 | 4.7392 |
| 6.2828 | 2.0 | 14 | 4.7304 |
| 5.6553 | 3.0 | 21 | 4.7235 |
| 5.6553 | 4.0 | 28 | 4.7184 |
| 6.7346 | 5.0 | 35 | 4.7142 |
| 6.1787 | 6.0 | 42 | 4.7110 |
| 6.1787 | 7.0 | 49 | 4.7092 |
| 6.806 | 8.0 | 56 | 4.7087 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0
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Base model
google/flan-t5-base