metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: xlm-roberta-base-finetuned-misogyny-sexism
results: []
xlm-roberta-base-finetuned-misogyny-sexism
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: 0.0211
- Accuracy: 0.9949
- F1: 0.9948
- Precision: 0.9906
- Recall: 0.9989
- Mae: 0.0051
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: 10
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Mae |
---|---|---|---|---|---|---|---|---|
0.3841 | 1.0 | 2778 | 0.4443 | 0.8027 | 0.7919 | 0.8030 | 0.7811 | 0.1973 |
0.334 | 2.0 | 5556 | 0.4946 | 0.8058 | 0.8272 | 0.7225 | 0.9674 | 0.1942 |
0.2995 | 3.0 | 8334 | 0.2693 | 0.8912 | 0.8951 | 0.8344 | 0.9653 | 0.1088 |
0.2675 | 4.0 | 11112 | 0.2575 | 0.9145 | 0.9168 | 0.8612 | 0.98 | 0.0855 |
0.2263 | 5.0 | 13890 | 0.1100 | 0.9611 | 0.9598 | 0.9514 | 0.9684 | 0.0389 |
0.2089 | 6.0 | 16668 | 0.0999 | 0.9712 | 0.9706 | 0.9524 | 0.9895 | 0.0288 |
0.1871 | 7.0 | 19446 | 0.0644 | 0.9782 | 0.9774 | 0.9769 | 0.9779 | 0.0218 |
0.1795 | 8.0 | 22224 | 0.0264 | 0.9924 | 0.9922 | 0.9865 | 0.9979 | 0.0076 |
0.144 | 9.0 | 25002 | 0.0231 | 0.9924 | 0.9922 | 0.9855 | 0.9989 | 0.0076 |
0.1296 | 10.0 | 27780 | 0.0211 | 0.9949 | 0.9948 | 0.9906 | 0.9989 | 0.0051 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.9.0+cu111
- Datasets 2.3.2
- Tokenizers 0.12.1