Edit model card

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
Downloads last month
17
Safetensors
Model size
151M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for Peixian02/clip-roberta-finetuned

Base model

vinid/plip
Finetuned
(2)
this model