metadata

license: mit
base_model: joeddav/xlm-roberta-large-xnli
tags:
  - generated_from_trainer
model-index:
  - name: xlm-roberta-large-finetuned-hate-implicit
    results: []

xlm-roberta-large-finetuned-hate-implicit

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

eval_loss: 0.6051
eval_accuracy: 0.7768
eval_f1: 0.7721
eval_runtime: 107.6127
eval_samples_per_second: 39.921
eval_steps_per_second: 0.316
epoch: 3.98
step: 537

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: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3