metadata

library_name: transformers
license: mit
base_model: xlm-roberta-large
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: sexism-detector-English-8832e-501
    results: []

sexism-detector-English-8832e-501

This model is a fine-tuned version of xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4863
Accuracy: 0.7635
F1: 0.7588

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5696	1.0	1750	0.5563	0.7575	0.6530
0.5631	2.0	3500	0.5578	0.7575	0.6530
0.5497	3.0	5250	0.4863	0.7635	0.7588

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3