knurm's picture
update model card README.md
e1d0302
metadata
license: mit
tags:
  - generated_from_trainer
model-index:
  - name: my-finetuned-xml-roberta4
    results: []

my-finetuned-xml-roberta4

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

  • Loss: 3.7709

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: 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: 7

Training results

Training Loss Epoch Step Validation Loss
3.4629 1.0 5652 3.3367
3.1814 2.0 11304 3.2952
2.9718 3.0 16956 3.2592
2.7442 4.0 22608 3.3133
2.5991 5.0 28260 3.4292
2.4221 6.0 33912 3.5928
2.3259 7.0 39564 3.7709

Framework versions

  • Transformers 4.19.1
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.1
  • Tokenizers 0.12.1