Prototipo_8_EMI
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:
- eval_loss: 0.7554
- eval_accuracy: 0.6506
- eval_runtime: 13.3415
- eval_samples_per_second: 374.771
- eval_steps_per_second: 7.495
- epoch: 1.3333
- step: 3200
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: 3e-05
- train_batch_size: 50
- eval_batch_size: 50
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 250
- num_epochs: 5
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for Armandodelca/Prototipo_8_EMI
Base model
dccuchile/bert-base-spanish-wwm-cased