clasi_noti / README.md
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metadata
base_model: dccuchile/bert-base-spanish-wwm-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: clasi_noti
    results: []

clasi_noti

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

  • Loss: 0.2959
  • Accuracy: 0.9181

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: 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: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 236 0.2896 0.9181
No log 2.0 472 0.2959 0.9181

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1