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metadata
base_model: pysentimiento/robertuito-base-uncased
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: Robertuito-check-worthy-classifier
    results: []
widget:
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Robertuito-check-worthy-classifier

This model is a fine-tuned version of pysentimiento/robertuito-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2029
  • F1 Class 0: 0.9557
  • F1 Class 1: 0.6936
  • F1: 0.8246

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: 0.0005
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • lr_scheduler_warmup_steps: 200
  • training_steps: 2000

Training results

Training Loss Epoch Step Validation Loss F1 Class 0 F1 Class 1 F1
0.4326 0.16 200 0.3187 0.9412 0.6514 0.7963
0.3765 0.32 400 0.2572 0.9323 0.6736 0.8030
0.3523 0.48 600 0.2079 0.9527 0.6990 0.8259
0.3594 0.64 800 0.2184 0.9505 0.5761 0.7633
0.3307 0.8 1000 0.2109 0.9497 0.6892 0.8194
0.3166 0.96 1200 0.2187 0.9537 0.6288 0.7912
0.297 1.13 1400 0.2541 0.9524 0.6429 0.7976
0.2766 1.29 1600 0.2031 0.9561 0.7173 0.8367
0.2628 1.45 1800 0.2076 0.9516 0.7200 0.8358
0.2313 1.61 2000 0.2029 0.9557 0.6936 0.8246

Framework versions

  • Transformers 4.35.1
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.7
  • Tokenizers 0.14.1