metadata
tags:
- generated_from_trainer
datasets:
- coco_dataset_script
model-index:
- name: clip-roberta-finetuned
results: []
clip-roberta-finetuned
This model was trained from scratch 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
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 512
- total_eval_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.0.1+gita61a294
- Datasets 2.17.1
- Tokenizers 0.15.2