mikechen's picture
Training completed!
fffb7a5 verified
|
raw
history blame
1.48 kB
metadata
license: mit
base_model: xlm-roberta-base
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: xlm-roberta-base-finetuned-panx-de
    results: []

xlm-roberta-base-finetuned-panx-de

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

  • Loss: 0.1382
  • F1: 0.8611

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: 24
  • eval_batch_size: 24
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss F1
0.2591 1.0 525 0.1569 0.8245
0.1257 2.0 1050 0.1440 0.8477
0.0797 3.0 1575 0.1382 0.8611

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.2.2
  • Datasets 2.16.0
  • Tokenizers 0.13.3