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albert-base-spanish-finetuned-ner-finetuned-ner

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metadata
library_name: transformers
base_model: dccuchile/albert-base-spanish-finetuned-ner
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: albert-base-spanish-finetuned-ner-finetuned-ner
    results: []

albert-base-spanish-finetuned-ner-finetuned-ner

This model is a fine-tuned version of dccuchile/albert-base-spanish-finetuned-ner on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3012
  • Precision: 0.8356
  • Recall: 0.8356
  • F1: 0.8356
  • Accuracy: 0.9385

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: 20

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
No log 1.0 13 1.8849 0.0 0.0 0.0 0.5939
No log 2.0 26 1.4600 0.0 0.0 0.0 0.6687
No log 3.0 39 1.1449 0.0 0.0 0.0 0.6832
No log 4.0 52 0.9138 0.2857 0.2329 0.2566 0.8056
No log 5.0 65 0.7441 0.4504 0.4041 0.4260 0.8399
No log 6.0 78 0.6292 0.5310 0.5274 0.5292 0.875
No log 7.0 91 0.5406 0.6786 0.6507 0.6643 0.9041
No log 8.0 104 0.4747 0.7397 0.7397 0.7397 0.9259
No log 9.0 117 0.4228 0.7945 0.7945 0.7945 0.9306
No log 10.0 130 0.3900 0.8333 0.8219 0.8276 0.9332
No log 11.0 143 0.3685 0.8392 0.8219 0.8304 0.9339
No log 12.0 156 0.3487 0.8333 0.8219 0.8276 0.9339
No log 13.0 169 0.3325 0.8219 0.8219 0.8219 0.9339
No log 14.0 182 0.3227 0.8472 0.8356 0.8414 0.9339
No log 15.0 195 0.3150 0.8531 0.8356 0.8443 0.9358
No log 16.0 208 0.3094 0.8345 0.8288 0.8316 0.9358
No log 17.0 221 0.3047 0.8414 0.8356 0.8385 0.9378
No log 18.0 234 0.3027 0.8356 0.8356 0.8356 0.9385
No log 19.0 247 0.3017 0.8414 0.8356 0.8385 0.9385
No log 20.0 260 0.3012 0.8356 0.8356 0.8356 0.9385

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1