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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - becasv2
model-index:
  - name: roberta-base-bne-ROBERTaBECAS
    results: []

roberta-base-bne-ROBERTaBECAS

This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the becasv2 dataset. It achieves the following results on the evaluation set:

  • Loss: 2.6448

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: 3e-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: 6

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 5 3.5817
No log 2.0 10 2.9636
No log 3.0 15 2.6857
No log 4.0 20 2.6310
No log 5.0 25 2.6331
No log 6.0 30 2.6448

Framework versions

  • Transformers 4.21.1
  • Pytorch 1.9.0+cu111
  • Datasets 2.4.0
  • Tokenizers 0.12.1