consejo-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: 0.1062
• Accuracy: 0.9851

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	38	1.1395	0.5672
No log	2.0	76	0.6276	0.8358
No log	3.0	114	0.3375	0.9552
No log	4.0	152	0.1894	0.9851
No log	5.0	190	0.1331	0.9851
No log	6.0	228	0.1223	0.9851
No log	7.0	266	0.1104	0.9851
No log	8.0	304	0.1079	0.9851
No log	9.0	342	0.1064	0.9851
No log	10.0	380	0.1062	0.9851

Framework versions

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