clip-roberta-finetuned
This model is a fine-tuned version of transformers/clip-roberta on the ydshieh/coco_dataset_script 2017 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: 3.0
- mixed_precision_training: Apex, opt level O2
Training results
Framework versions
- Transformers 4.18.0.dev0
- Pytorch 1.8.1+ascend.rc2
- Datasets 2.7.1
- Tokenizers 0.13.2
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