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metadata
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
  - generated_from_trainer
model-index:
  - name: final-ft__bert-base-spanish-wwm-cased__70k-ultrasounds
    results: []

final-ft__bert-base-spanish-wwm-cased__70k-ultrasounds

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

  • Loss: 0.5227

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: 64
  • eval_batch_size: 64
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 276 0.9156
No log 2.0 552 0.7658
No log 3.0 828 0.7083
0.9708 4.0 1104 0.6710
0.9708 5.0 1380 0.6380
0.9708 6.0 1656 0.6119
0.9708 7.0 1932 0.6025
0.6612 8.0 2208 0.5752
0.6612 9.0 2484 0.5708
0.6612 10.0 2760 0.5680
0.6612 11.0 3036 0.5425
0.6013 12.0 3312 0.5635
0.6013 13.0 3588 0.5386
0.6013 14.0 3864 0.5476
0.6013 15.0 4140 0.5458
0.5675 16.0 4416 0.5345
0.5675 17.0 4692 0.5350
0.5675 18.0 4968 0.5280
0.5675 19.0 5244 0.5260
0.5549 20.0 5520 0.5227

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1