metadata
library_name: transformers
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-finetuned-mnli
results: []
roberta-base-finetuned-mnli
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: 0.3678
- Accuracy: 0.8763
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: 400
- eval_batch_size: 400
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5376 | 1.0 | 982 | 0.3566 | 0.8625 |
| 0.3571 | 2.0 | 1964 | 0.3516 | 0.8694 |
| 0.3017 | 3.0 | 2946 | 0.3441 | 0.8744 |
| 0.2654 | 4.0 | 3928 | 0.3546 | 0.8756 |
| 0.2424 | 5.0 | 4910 | 0.3678 | 0.8763 |
Framework versions
- Transformers 4.53.1
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2