metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
base_model: xlm-roberta-base
model-index:
- name: xlm-roberta-base-misogyny-sexism-indomain-mix-bal
results: []
xlm-roberta-base-misogyny-sexism-indomain-mix-bal
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8259
- Accuracy: 0.826
- F1: 0.8333
- Precision: 0.7996
- Recall: 0.87
- Mae: 0.174
- Tn: 391
- Fp: 109
- Fn: 65
- Tp: 435
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Mae | Tn | Fp | Fn | Tp |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.2643 | 1.0 | 1603 | 0.6511 | 0.82 | 0.8269 | 0.7963 | 0.86 | 0.18 | 390 | 110 | 70 | 430 |
| 0.2004 | 2.0 | 3206 | 0.8259 | 0.826 | 0.8333 | 0.7996 | 0.87 | 0.174 | 391 | 109 | 65 | 435 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1