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Model

This model was trained from scratch on an unknown dataset.

TipoOtherVersãoRevision d3f4bedCnota

Fonte do modelo

Tipo
Other
Tamanho do arquivo
449 MB
Versão
vRevision d3f4bed
Atualizado
19 de set. de 2026
Downloads
12
Fonte
Hugging Face

Descrição da fonte

model

This model was trained from scratch on an unknown dataset.

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: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 800
  • num_epochs: 10

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.0
  • Datasets 2.18.0
  • Tokenizers 0.15.1

Fontes

1 fonte
Hugging FacePrimárioVersão d3f4bed30119cbb4f0f3b77e5bd429308cf3f784
huggingface.co/jb6692/model/tree/d3f4bed30119cbb4f0f3b77e5bd429308cf3f784

Verificado 4 de set.

Artefatos de modelo

1 artefato

model.safetensors

safetensors · 449 MB · SHA-256 c8097bc39299…ccc0 · Hugging Face

Download file

Trechos de fonte

2 trechos

--- tags: - generated_from_trainer model-index: - name: model 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. --> # model This model was trained from scratch on an unknown dataset. ## 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: 32 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 800 - num_epochs: 10 ### Framework versions - Transformers 4.37.2 - Pytorch 2.2.0 - Datasets 2.18.0 - Tokenizers 0.15.1

Source context: 12 downloads · 0 likes · Pipeline visual-question-answering · Library transformers · Repo jb6692/model