metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
base_model: bert-base-multilingual-cased
model-index:
  - name: Homophobia-Transphobia-v2-mBERT-EDA
    results: []

Homophobia-Transphobia-v2-mBERT-EDA

This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5401
Accuracy: 0.9317
F1: 0.4498

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: 32
eval_batch_size: 32
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	F1
0.1699	1.0	189	0.4125	0.9229	0.4634
0.0387	2.0	378	0.4658	0.9229	0.3689
0.0148	3.0	567	0.5250	0.9355	0.4376
0.0005	4.0	756	0.5336	0.9317	0.4531
0.0016	5.0	945	0.5401	0.9317	0.4498

Framework versions

Transformers 4.17.0
Pytorch 1.10.2+cu102
Datasets 1.18.4
Tokenizers 0.11.6