metadata

base_model: ./clip-roberta
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 ./clip-roberta on the ydshieh/coco_dataset_script 2017 dataset. It achieves the following results on the evaluation set:

Loss: 1.6958

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.32.1
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.2