Sergio10IA's picture
update model card README.md
931a891
|
raw
history blame
1.36 kB
metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - sqac
model-index:
  - name: roberta-base-bne-Modelo_CF
    results: []

roberta-base-bne-Modelo_CF

This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the sqac dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9140

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: 12
  • eval_batch_size: 12
  • 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
0.9247 1.0 1594 0.8527
0.4212 2.0 3188 0.9140

Framework versions

  • Transformers 4.29.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3