AnimeCharacterClassifierMark1

This model is a fine-tuned version of google/vit-base-patch16-224 on the image_folder dataset. It achieves the following results on the evaluation set:

• Loss: 0.6720
• Accuracy: 0.8655

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: 128
• eval_batch_size: 128
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 512
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 42

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
5.0145	0.99	17	4.9303	0.0092
4.8416	1.97	34	4.7487	0.0287
4.4383	2.96	51	4.3597	0.1170
4.0762	4.0	69	3.6419	0.3224
3.108	4.99	86	2.8574	0.5246
2.1571	5.97	103	2.2129	0.6653
1.4685	6.96	120	1.7290	0.7495
1.1649	8.0	138	1.3862	0.7977
0.7905	8.99	155	1.1589	0.8214
0.5549	9.97	172	1.0263	0.8296
0.4577	10.96	189	0.8994	0.8368
0.2964	12.0	207	0.8086	0.8552
0.194	12.99	224	0.7446	0.8583
0.1358	13.97	241	0.7064	0.8573
0.1116	14.96	258	0.6720	0.8655
0.0811	16.0	276	0.6515	0.8645

Framework versions

• Transformers 4.33.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3