lbl-file7-fold1
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2790
- Accuracy: 0.5824
- F1: 0.5756
- Precision: 0.5805
- Recall: 0.5824
- Accuracy Label Label 0: 0.7639
- Accuracy Label Label 1: 0.5878
- Accuracy Label Label 2: 0.5174
- Accuracy Label Label 3: 0.7510
- Accuracy Label Label 4: 0.7247
- Accuracy Label Label 5: 0.4435
- Accuracy Label Label 6: 0.7045
- Accuracy Label Label 7: 0.2311
- Accuracy Label Label 8: 0.6230
- Accuracy Label Label 9: 0.4866
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-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- Transformers 4.30.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.13.3
