metadata

license: apache-2.0
tags:
  - generated_from_trainer
  - stereotype
  - gender
  - gender_bias
widget:
  - text: >-
      Cauterize is not just for fans of the guitarist or his other projects, but
      those that love music that is both aggressive and infectious and gave the
      album 4 out of 5 stars .
metrics:
  - accuracy
model-index:
  - name: distilRoberta-stereotype
    results:
      - task:
          name: Text Classification
          type: text-classification
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.989151002901476

distilRoberta-stereotype

This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0651
Accuracy: 0.9892

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: 2e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0783	1.0	5615	0.0703	0.9847
0.0468	2.0	11230	0.0573	0.9863
0.0316	3.0	16845	0.0580	0.9882
0.0172	4.0	22460	0.0591	0.9885
0.0098	5.0	28075	0.0651	0.9892

Framework versions

Transformers 4.10.2
Pytorch 1.9.0+cu102
Datasets 1.11.0
Tokenizers 0.10.3

Created by: Narrativa

About Narrativa: Natural Language Generation (NLG) | Gabriele, our machine learning-based platform, builds and deploys natural language solutions. #NLG #AI