models

This model is a fine-tuned version of openai/clip-vit-base-patch32 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.3072

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: 25
• eval_batch_size: 25
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	3	4.1573
No log	2.0	6	3.8393
No log	3.0	9	3.5172
No log	4.0	12	3.3072

Framework versions

• Transformers 4.36.2
• Pytorch 2.0.0
• Datasets 2.15.0
• Tokenizers 0.15.0