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services-ucacue

Text Classification
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roberta
Generated from Trainer
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metadata
license: apache-2.0
base_model: BSC-LT/roberta-base-bne
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: services-ucacue
    results: []

services-ucacue

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

  • Loss: 0.5312
  • Accuracy: 0.8260

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: 40
  • eval_batch_size: 48
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 160
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.3007 1.0 158 0.6027 0.7798
0.5036 2.0 316 0.4827 0.8213
0.3994 3.0 474 0.4975 0.8213
0.2731 4.0 632 0.4928 0.8181
0.2132 5.0 790 0.5312 0.8260

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2