metadata
library_name: transformers
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: platzi-osvaldo-course-mrpc-glue-osvaldo-trejo
results: []
platzi-osvaldo-course-mrpc-glue-osvaldo-trejo
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0336
- Accuracy: 0.8260
- F1: 0.8774
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: 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 | F1 |
|---|---|---|---|---|---|
| 0.5207 | 1.0893 | 500 | 0.4251 | 0.8284 | 0.8694 |
| 0.3566 | 2.1786 | 1000 | 0.9369 | 0.8211 | 0.8717 |
| 0.2331 | 3.2680 | 1500 | 1.0557 | 0.8309 | 0.8848 |
| 0.1073 | 4.3573 | 2000 | 1.0336 | 0.8260 | 0.8774 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3