modelo_clasificacion_violencia2

This model is a fine-tuned version of MelisaO/modelo_clasificacion_violencia on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0002

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	14	0.2859
No log	2.0	28	0.2177
No log	3.0	42	0.2135
No log	4.0	56	0.3472
No log	5.0	70	0.2879
No log	6.0	84	0.2459
No log	7.0	98	0.0246
No log	8.0	112	0.0016
No log	9.0	126	0.1476
No log	10.0	140	0.5706
No log	11.0	154	0.0002
No log	12.0	168	0.0002
No log	13.0	182	0.0002
No log	14.0	196	0.0002
No log	15.0	210	0.0002

Framework versions

• Transformers 4.48.3
• Pytorch 2.5.1+cu124
• Datasets 3.3.2
• Tokenizers 0.21.0