metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - amazon_reviews_multi
metrics:
  - accuracy
model-index:
  - name: test-xlm-roberta-base-amzaon-reviews-mlm
    results:
      - task:
          name: Masked Language Modeling
          type: fill-mask
        dataset:
          name: amazon_reviews_multi all_languages
          type: amazon_reviews_multi
          args: all_languages
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.5032103794889962

test-xlm-roberta-base-amzaon-reviews-mlm

This model is a fine-tuned version of xlm-roberta-base on the amazon_reviews_multi all_languages dataset. It achieves the following results on the evaluation set:

Loss: 2.1091
Accuracy: 0.5032

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.18.0.dev0
Pytorch 1.10.0
Datasets 1.18.3
Tokenizers 0.11.0