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layer_1_classifier_google
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4568
- Accuracy: 0.9022
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 2 | 0.5103 | 1.0 |
| No log | 2.0 | 4 | 0.4784 | 1.0 |
| No log | 3.0 | 6 | 0.4533 | 1.0 |
| No log | 4.0 | 8 | 0.4340 | 1.0 |
| No log | 5.0 | 10 | 0.4168 | 1.0 |
| No log | 6.0 | 12 | 0.4040 | 1.0 |
| No log | 7.0 | 14 | 0.3956 | 1.0 |
| No log | 8.0 | 16 | 0.3921 | 1.0 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
