metadata

license: cc-by-4.0
tags:
  - generated_from_trainer
base_model: bertin-project/bertin-roberta-base-spanish
model-index:
  - name: ClasificadorV4
    results: []

ClasificadorV4

This model is a fine-tuned version of bertin-project/bertin-roberta-base-spanish on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.1803
eval_accuracy: 0.5668
eval_off_by_one_accuracy: 0.949
eval_f1: 0.5696
eval_recall: 0.5668
eval_runtime: 16.9577
eval_samples_per_second: 294.851
eval_steps_per_second: 11.794
epoch: 2.2917
step: 11000

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: 25
eval_batch_size: 25
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
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