datos-textcat

This model is a fine-tuned version of dccuchile/distilbert-base-spanish-uncased on the Consejo dataset. It achieves the following results on the evaluation set:

• Loss: 0.1623
• Accuracy: 0.9676

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	122	0.7060	0.8333
No log	2.0	244	0.2884	0.9259
No log	3.0	366	0.2334	0.9398
No log	4.0	488	0.1797	0.9583
0.5069	5.0	610	0.1964	0.9676
0.5069	6.0	732	0.1686	0.9537
0.5069	7.0	854	0.1671	0.9722
0.5069	8.0	976	0.1634	0.9630
0.034	9.0	1098	0.1693	0.9676
0.034	10.0	1220	0.1623	0.9676

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2