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yt-title-grader
This model is a fine-tuned version of distilbert-base-uncased on the yt_main_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.4606
- Accuracy: 0.7959
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5255 | 1.0 | 1357 | 0.4761 | 0.7782 |
| 0.3791 | 2.0 | 2714 | 0.4606 | 0.7959 |
| 0.264 | 3.0 | 4071 | 0.5174 | 0.7982 |
Framework versions
- Transformers 4.32.1
- Pytorch 1.13.1
- Datasets 2.14.4
- Tokenizers 0.13.3
