Edit model card

xlm-roberta-base-finetuned-marc-en-j-run

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

  • Loss: 0.9189
  • Mae: 0.4634

Model description

Trained following the MLT Tokyo Transformers workshop run by huggingface.

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 Mae
1.2327 1.0 235 1.0526 0.6341
0.9943 2.0 470 0.9189 0.4634

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.9.0+cu111
  • Datasets 1.14.0
  • Tokenizers 0.10.3
Downloads last month
15
Hosted inference API
Text Classification
Examples
Examples
This model can be loaded on the Inference API on-demand.

Dataset used to train jx88/xlm-roberta-base-finetuned-marc-en-j-run

Evaluation results