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Training complete
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metadata
library_name: transformers
base_model: dccuchile/albert-base-spanish
tags:
  - classification
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: clasificador-tweets-2
    results: []

clasificador-tweets-2

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

  • Loss: 1.6181
  • Accuracy: 0.3830

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 23 1.6828 0.3617
No log 2.0 46 1.6181 0.3830

Framework versions

  • Transformers 4.47.0
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0