non_green_as_train_contextroberta-large_final
This model is a fine-tuned version of FacebookAI/roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1008
- Accuracy: 0.9769
- Recall: 0.6932
- F1: 0.6943
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-05
- train_batch_size: 16
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | F1 |
|---|---|---|---|---|---|---|
| 0.0664 | 1.0 | 7739 | 0.0862 | 0.9658 | 0.8042 | 0.6396 |
| 0.0577 | 2.0 | 15478 | 0.1060 | 0.9768 | 0.6741 | 0.6869 |
| 0.0337 | 3.0 | 23217 | 0.1008 | 0.9769 | 0.6932 | 0.6943 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
FacebookAI/roberta-large