metadata
license: apache-2.0
tags:
- generated_from_trainer
base_model: PlanTL-GOB-ES/roberta-base-bne
model-index:
- name: ClasificadorV5
results: []
ClasificadorV5
This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.0302
- eval_accuracy: 0.5838
- eval_off_by_one_accuracy: 0.9506
- eval_f1: 0.5853
- eval_recall: 0.5838
- eval_runtime: 14.4621
- eval_samples_per_second: 345.732
- eval_steps_per_second: 13.829
- 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: 1e-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