m-aliabbas1/roberta_en_med_merged_classes
017
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robertaenmedmergedclasses
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4434
- Accuracy: 0.8467
- F1 Macro: 0.7876
- F1 Weighted: 0.8463
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
- trainbatchsize: 64
- evalbatchsize: 32
- seed: 42
- gradientaccumulationsteps: 8
- totaltrainbatch_size: 512
- optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: linear
- lrschedulerwarmup_ratio: 0.1
- num_epochs: 6
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.56.1
- Pytorch 2.6.0+cu124
- Tokenizers 0.22.0