YAML Metadata
Error:
"widget[0].text" must be a string
YAML Metadata
Error:
"widget[1].text" must be a string
platzi-distilroberta-base-mrpc-joel-orellana
This model is a fine-tuned version of distilroberta-base on the glue and the mrpc datasets. It achieves the following results on the evaluation set:
- Loss: 0.4957
- Accuracy: 0.8382
- F1: 0.8830
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 |
|---|---|---|---|---|---|
| 0.1982 | 1.09 | 500 | 0.4957 | 0.8382 | 0.8830 |
| 0.1914 | 2.18 | 1000 | 0.4957 | 0.8382 | 0.8830 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Downloads last month
- 3
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Dataset used to train platzi/platzi-distilroberta-base-mrpc-joel-orellana
Evaluation results
- Accuracy on gluevalidation set self-reported0.838
- F1 on gluevalidation set self-reported0.883