clip-roberta-finetuned_GQA
This model is a fine-tuned version of ./clip-roberta on the ./GQA_script.py relation dataset. It achieves the following results on the evaluation set:
- Loss: 2.3532
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: 32
- eval_batch_size: 32
- 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 4.26.1
- Pytorch 1.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2