metadata

tags:
  - generated_from_trainer
base_model: dccuchile/bert-base-spanish-wwm-cased
metrics:
  - accuracy
  - f1
  - recall
model-index:
  - name: ClasificadorV2
    results: []

ClasificadorV2

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1411
Accuracy: 0.5708
Off By One Accuracy: 0.9434
F1: 0.5724
Recall: 0.5708

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: 50
eval_batch_size: 50
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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Off By One Accuracy	F1	Recall
1.2177	0.3333	500	1.0309	0.5426	0.93	0.5414	0.5426
1.011	0.6667	1000	0.9836	0.565	0.9336	0.5485	0.565
0.9833	1.0	1500	0.9664	0.5752	0.9448	0.5704	0.5752
0.9004	1.3333	2000	0.9566	0.5728	0.9476	0.5743	0.5728
0.8974	1.6667	2500	0.9583	0.5782	0.9472	0.5784	0.5782
0.8912	2.0	3000	0.9480	0.5816	0.9498	0.5768	0.5816
0.7935	2.3333	3500	0.9768	0.582	0.9472	0.5800	0.582
0.7898	2.6667	4000	0.9831	0.5716	0.9426	0.5715	0.5716
0.7801	3.0	4500	0.9969	0.5736	0.9514	0.5759	0.5736
0.6714	3.3333	5000	1.0782	0.5826	0.9392	0.5795	0.5826
0.6783	3.6667	5500	1.0672	0.5724	0.9456	0.5752	0.5724
0.6764	4.0	6000	1.0762	0.567	0.9458	0.5708	0.567
0.5986	4.3333	6500	1.1349	0.5698	0.9412	0.5684	0.5698
0.5887	4.6667	7000	1.1335	0.5706	0.9398	0.5716	0.5706
0.5798	5.0	7500	1.1411	0.5708	0.9434	0.5724	0.5708

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1