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roberta-large-finetuned-TeacherMomentsConfusion
This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7027
- Accuracy: 0.8655
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Balanced Accuracy: 0.5
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: 16
- 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 | Accuracy | Precision | Recall | F1 | Balanced Accuracy |
---|---|---|---|---|---|---|---|---|
No log | 1.0 | 295 | 0.7027 | 0.8655 | 0.0 | 0.0 | 0.0 | 0.5 |
0.7205 | 2.0 | 590 | 0.6718 | 0.8655 | 0.0 | 0.0 | 0.0 | 0.5 |
0.7205 | 3.0 | 885 | 0.6768 | 0.8655 | 0.0 | 0.0 | 0.0 | 0.5 |
0.6976 | 4.0 | 1180 | 0.7014 | 0.1345 | 0.1345 | 1.0 | 0.2371 | 0.5 |
0.6976 | 5.0 | 1475 | 0.6722 | 0.8655 | 0.0 | 0.0 | 0.0 | 0.5 |
0.6994 | 6.0 | 1770 | 0.6900 | 0.8655 | 0.0 | 0.0 | 0.0 | 0.5 |
0.6961 | 7.0 | 2065 | 0.6845 | 0.8655 | 0.0 | 0.0 | 0.0 | 0.5 |
0.6961 | 8.0 | 2360 | 0.6897 | 0.8655 | 0.0 | 0.0 | 0.0 | 0.5 |
0.6958 | 9.0 | 2655 | 0.6854 | 0.8655 | 0.0 | 0.0 | 0.0 | 0.5 |
0.6958 | 10.0 | 2950 | 0.6878 | 0.8655 | 0.0 | 0.0 | 0.0 | 0.5 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3