Peixian02's picture
Model save
c7bd7d1 verified
metadata
library_name: transformers
base_model: vinid/plip
tags:
  - generated_from_trainer
datasets:
  - coco_dataset_script
model-index:
  - name: clip-roberta-finetuned
    results: []

clip-roberta-finetuned

This model is a fine-tuned version of vinid/plip on the coco_dataset_script 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: 64
  • eval_batch_size: 64
  • 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: 3.0

Training results

Framework versions

  • Transformers 4.46.0.dev0
  • Pytorch 2.1.2
  • Datasets 3.0.1
  • Tokenizers 0.20.1