convnextv2-base-22k-224-finetuned-critique

This model is a fine-tuned version of facebook/convnextv2-base-22k-224 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2878
• Accuracy: 0.8825

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
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2128	1.0	56	0.3349	0.8588
0.2064	1.99	112	0.2999	0.8812
0.1788	2.99	168	0.2878	0.8825

Framework versions

• Transformers 4.30.2
• Pytorch 1.13.1
• Datasets 2.13.1
• Tokenizers 0.13.3