git-base-pokemon

This model is a fine-tuned version of microsoft/git-base on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.1599
• Wer Score: 5.0450

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: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 50
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Score
7.1299	12.5	50	4.6555	17.9965
2.9648	25.0	100	1.3396	9.0415
0.714	37.5	150	0.2845	7.8824
0.1933	50.0	200	0.1599	5.0450

Framework versions

• Transformers 4.45.0.dev0
• Pytorch 2.2.1+cu118
• Datasets 2.19.2
• Tokenizers 0.19.1