clip-rpt / README.md
adalbertojunior
tokenizer
c383fcb
metadata
tags:
  - generated_from_trainer
datasets:
  - ydshieh/coco_dataset_script
model-index:
  - name: clip-roberta-finetuned
    results: []

clip-roberta-finetuned

This model is a fine-tuned version of ./models/clip-roberta on the ydshieh/coco_dataset_script 2017 dataset. It achieves the following results on the evaluation set:

  • Loss: 2.7269

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: 256
  • eval_batch_size: 256
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.19.2
  • Pytorch 1.11.0+cu113
  • Datasets 1.18.4
  • Tokenizers 0.11.6