roberta_base_results_batch_size16
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3188
- Accuracy: 0.8660
- F1: 0.8650
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: 2
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
0.498 | 0.5319 | 100 | 0.3733 | 0.8483 | 0.8433 |
0.3518 | 1.0638 | 200 | 0.3419 | 0.8581 | 0.8577 |
0.2913 | 1.5957 | 300 | 0.3188 | 0.8660 | 0.8650 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for aoiferyan/roberta_base_results_batch_size16
Base model
FacebookAI/roberta-base