flan-t5-large-depression-evaluation
This model is a fine-tuned version of google/flan-t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3355
- Accuracy: 0.945
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5487 | 1.0 | 500 | 0.3557 | 0.91 |
| 0.5005 | 2.0 | 1000 | 0.3845 | 0.935 |
| 0.4918 | 3.0 | 1500 | 0.4023 | 0.935 |
| 0.4105 | 4.0 | 2000 | 0.3698 | 0.935 |
| 0.3021 | 5.0 | 2500 | 0.3355 | 0.945 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
google/flan-t5-large