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
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 329 MB
- Versão
- vRevision 7935d66
- Atualizado
- 3 de nov. de 2026
- Downloads
- 6
- Fonte
- Hugging Face
Descrição da fonte
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
Fontes
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Fontes
1 fonteVerificado 3 de nov.
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Artefatos de modelo
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Artefatos de modelo
1 artefatomodel.safetensors
safetensors · FP32 (unverified) · 329 MB · SHA-256 2408c731fa61…1822 · Hugging Face
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Trechos de fonte
2 trechos--- 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
