metadata

library_name: transformers
base_model: dccuchile/bert-base-spanish-wwm-uncased
tags:
  - generated_from_trainer
model-index:
  - name: Bert_v11
    results: []

Bert_v11

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

eval_accuracy: 0.9032
eval_f1: 0.9017
eval_precision: 0.9035
eval_recall: 0.9020
eval_loss: 0.4575
eval_runtime: 125.7967
eval_samples_per_second: 30.048
eval_steps_per_second: 0.946
epoch: 0.0725
step: 20

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 15

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1