joker-bert-classification-all-tags-model-new-structure-v1
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: 1.0149
- Accuracy: 0.7761
- F1: 0.7722
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 |
|---|---|---|---|---|---|
| 1.3161 | 1.0 | 1187 | 1.1416 | 0.6738 | 0.6721 |
| 0.6894 | 2.0 | 2374 | 1.0403 | 0.7113 | 0.7040 |
| 0.3205 | 3.0 | 3561 | 0.9430 | 0.7526 | 0.7487 |
| 0.1655 | 4.0 | 4748 | 0.9927 | 0.7725 | 0.7676 |
| 0.0791 | 5.0 | 5935 | 1.0149 | 0.7761 | 0.7722 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for abdullah-jokergames/joker-bert-classification-all-tags-model-new-structure-v1
Base model
facebook/bart-large-mnli