final_results
This model is a fine-tuned version of google/flan-t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9155
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2959 | 1.0 | 1203 | 1.0876 |
| 1.1963 | 2.0 | 2406 | 1.0040 |
| 1.1396 | 3.0 | 3609 | 0.9608 |
| 1.1504 | 4.0 | 4812 | 0.9352 |
| 1.0911 | 5.0 | 6015 | 0.9218 |
| 1.0224 | 6.0 | 7218 | 0.9155 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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google/flan-t5-large