bit-50-finetuned-landscape-test

This model is a fine-tuned version of google/bit-50 on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.1774
• Accuracy: 0.9366

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
252224972.8	0.9684	23	0.4457	0.8217
0.4535	1.9789	47	0.2388	0.9168
0.3491	2.9895	71	0.2022	0.9300
818423.4	4.0	95	0.1818	0.9339
0.2255	4.8421	115	0.1774	0.9366

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1