datafun
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3032
- Precision: 0.4930
- Recall: 0.5856
- F1: 0.5354
- Accuracy: 0.9049
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: 8
- eval_batch_size: 8
- 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 | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
No log | 1.0 | 18 | 0.4004 | 0.4339 | 0.4475 | 0.4406 | 0.8762 |
No log | 2.0 | 36 | 0.3122 | 0.4649 | 0.5120 | 0.4873 | 0.9009 |
No log | 3.0 | 54 | 0.3032 | 0.4930 | 0.5856 | 0.5354 | 0.9049 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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