metadata
license: apache-2.0
base_model: distilroberta-base
tags:
- text-classification
- generated_from_trainer
metrics:
- accuracy
- f1
widget:
- text: Hello my friends, nice to see you all., Hi, Its good to see you.
example_title: Equivalent
model-index:
- name: destilroberta-base-mrpc-glue-ces
results: []
destilroberta-base-mrpc-glue-ces
This model is a fine-tuned version of distilroberta-base on the guel and the mrpc datasets. It achieves the following results on the evaluation set:
- Loss: 0.4664
- Accuracy: 0.8162
- F1: 0.8718
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: 5e-05
- train_batch_size: 8
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5436 | 1.09 | 500 | 0.4664 | 0.8162 | 0.8718 |
| 0.3757 | 2.18 | 1000 | 0.6894 | 0.8162 | 0.8629 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0