metadata
license: apache-2.0
base_model: distilroberta-base
tags:
- text-classification
- generated_from_trainer
metrics:
- accuracy
- f1
widget:
- text: >-
Around 0335 GMT , Tab shares were up 19 cents , or 4.4 % , at A $ 4.56 ,
having earlier set a record high of A $ 4.57 ., Tab shares jumped 20 cents
, or 4.6 % , to set a record closing high at A $ 4.57 .
example_title: not_equivalent
- text: >-
The stock rose $ 2.11 , or about 11 percent , to close Friday at $ 21.51
on the New York Stock Exchange ., PG & E Corp. shares jumped $ 1.63 or 8
percent to $ 21.03 on the New York Stock Exchange on Friday .
example_title: equivalent
model-index:
- name: platzi-distilroberta-base-mrpc-wgcv
results: []
platzi-distilroberta-base-mrpc-wgcv
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: 0.4002
- Accuracy: 0.8456
- F1: 0.8835
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: 16
- eval_batch_size: 16
- 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 |
---|---|---|---|---|---|
0.409 | 2.1739 | 500 | 0.4002 | 0.8456 | 0.8835 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1