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metadata
license: mit
tags:
  - generated_from_trainer
model-index:
  - name: my-finetuned-xml-roberta2
    results: []

my-finetuned-xml-roberta2

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

  • Loss: 3.4644

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: 5

Training results

Training Loss Epoch Step Validation Loss
3.4491 1.0 5652 3.3339
3.171 2.0 11304 3.2681
2.9518 3.0 16956 3.3003
2.7305 4.0 22608 3.3447
2.5974 5.0 28260 3.4644

Framework versions

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