Saltar al contenido
ModelPublicadoExterno
Descargar

Picth Vision Women Checkpoint 1

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.0685 Accuracy: 0.9938

TipoOtherVersiónRevision 7935d66Unratedcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
329 MB
Versión
vRevision 7935d66
Actualizado
3 nov 2026
Descargas
6
Fuente
Hugging Face

Descripción de la fuente

picth_vision_women_checkpoint_1

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0685
  • Accuracy: 0.9938

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: 4
  • eval_batch_size: 4
  • 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
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 3321

Training results

Training LossEpochStepValidation LossAccuracy
0.00841.033210.06850.9938

Framework versions

  • Transformers 4.51.3
  • Pytorch 2.3.1+cu121
  • Datasets 3.6.0
  • Tokenizers 0.21.1

Fuentes

1 fuente
Hugging FacePrincipalVersión 7935d665bd05e841b5c459daab96809a905c8634
huggingface.co/miladfa7/picth_vision_women_checkpoint_1/tree/7935d665bd05e841b5c459daab96809a905c8634

Verificado 3 nov

Download files

Artefactos del modelo

1 artefacto

model.safetensors

safetensors · FP32 (unverified) · 329 MB · SHA-256 2408c731fa61…1822 · Hugging Face

Download file

Extractos de fuentes

2 extractos

--- library_name: transformers tags: - generated_from_trainer metrics: - accuracy model-index: - name: picth_vision_women_checkpoint_1 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # picth_vision_women_checkpoint_1 This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0685 - Accuracy: 0.9938 ## 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: 4 - eval_batch_size: 4 - 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 - lr_scheduler_warmup_ratio: 0.1 - training_steps: 3321 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.0084 | 1.0 | 3321 | 0.0685 | 0.9938 | ### Framework versions - Transformers 4.51.3 - Pytorch 2.3.1+cu121 - Datasets 3.6.0 - Tokenizers 0.21.1

Source context: 6 downloads · 0 likes · Pipeline video-classification · Library transformers · Repo miladfa7/picth_vision_women_checkpoint_1