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rate-jokes-bert-v5
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9378
- F1: 0.2458
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
No log | 1.0 | 128 | 0.9829 | 0.1905 |
No log | 2.0 | 256 | 0.9821 | 0.2520 |
No log | 3.0 | 384 | 0.9378 | 0.2458 |
1.0745 | 4.0 | 512 | 1.0008 | 0.2208 |
1.0745 | 5.0 | 640 | 1.0081 | 0.2639 |
1.0745 | 6.0 | 768 | 1.1209 | 0.2639 |
1.0745 | 7.0 | 896 | 1.1830 | 0.2636 |
0.6378 | 8.0 | 1024 | 1.2899 | 0.2639 |
0.6378 | 9.0 | 1152 | 1.3287 | 0.2644 |
0.6378 | 10.0 | 1280 | 1.3570 | 0.2644 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3