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Finetuned_FLAN-T5_VALUE_adapterfusion_lr1e-4_bs96
This model is a fine-tuned version of liuyanchen1015/FLAN-T5_GLUE_finetuning_lr3e-4 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0896
- Accuracy: 0.8782
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: 0.0001
- train_batch_size: 96
- eval_batch_size: 96
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0588 | 0.25 | 2500 | 0.0865 | 0.8766 |
| 0.054 | 0.51 | 5000 | 0.0891 | 0.8768 |
| 0.0525 | 0.76 | 7500 | 0.0896 | 0.8782 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0+cu117
- Datasets 2.10.1
- Tokenizers 0.12.1
