platzi-distilroberta-base-mrpc-glue-sergei-calle
This model is a fine-tuned version of distilroberta-base on the datasetX dataset. It achieves the following results on the evaluation set:
- Loss: 0.4819
- Accuracy: 0.8529
- F1: 0.8983
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 |
|---|---|---|---|---|---|
| 0.5134 | 1.0893 | 500 | 0.4819 | 0.8529 | 0.8983 |
| 0.3216 | 2.1786 | 1000 | 0.5859 | 0.8603 | 0.8991 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Downloads last month
- 4
Model tree for Sergei1222/platzi-distilroberta-base-mrpc-glue-sergei-calle
Base model
distilbert/distilroberta-base