rate-jokes-bert
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0871
- F1: 0.0444
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-06
- train_batch_size: 4
- eval_batch_size: 4
- 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 | 64 | 2.4209 | 0.0028 |
No log | 2.0 | 128 | 2.3785 | 0.0130 |
No log | 3.0 | 192 | 2.3215 | 0.0729 |
No log | 4.0 | 256 | 2.1787 | 0.0444 |
No log | 5.0 | 320 | 2.1038 | 0.0444 |
No log | 6.0 | 384 | 2.0944 | 0.0444 |
No log | 7.0 | 448 | 2.0911 | 0.0444 |
2.2915 | 8.0 | 512 | 2.0901 | 0.0444 |
2.2915 | 9.0 | 576 | 2.0892 | 0.0444 |
2.2915 | 10.0 | 640 | 2.0871 | 0.0444 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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