modelo_clasificacion_violencia3

This model is a fine-tuned version of MelisaO/modelo_clasificacion_violencia3 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0000

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 27 0.0000
No log 2.0 54 0.0000
No log 3.0 81 0.0006
No log 4.0 108 0.0000
No log 5.0 135 0.0000
No log 6.0 162 0.0000
No log 7.0 189 0.0000
No log 8.0 216 0.0000
No log 9.0 243 0.0000
No log 10.0 270 0.0000
No log 11.0 297 0.0000
No log 12.0 324 0.0000
No log 13.0 351 0.0000
No log 14.0 378 0.0000
No log 15.0 405 0.0000

Framework versions

  • Transformers 4.48.3
  • Pytorch 2.6.0+cu124
  • Datasets 3.4.1
  • Tokenizers 0.21.1
Downloads last month
7
Safetensors
Model size
0.2B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for MelisaO/modelo_clasificacion_violencia3

Unable to build the model tree, the base model loops to the model itself. Learn more.