joker-classify-all-tags-20240826
This model is a fine-tuned version of facebook/bart-large-mnli on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8068
- Accuracy: 0.6860
- F1: 0.6637
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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
1.1904 | 1.0 | 1090 | 1.3483 | 0.6227 | 0.5977 |
0.4551 | 2.0 | 2180 | 1.3640 | 0.6768 | 0.6408 |
0.1778 | 3.0 | 3270 | 1.5750 | 0.6755 | 0.6570 |
0.0741 | 4.0 | 4360 | 1.6999 | 0.6939 | 0.6720 |
0.0272 | 5.0 | 5450 | 1.8068 | 0.6860 | 0.6637 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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