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: 1.4530
• Wer Score: 16.5809

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: 2
• total_train_batch_size: 256
• 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
7.2955	16.67	50	5.0105	21.4433
3.6221	33.33	100	2.2745	21.3860
1.8264	50.0	150	1.4530	16.5809

Framework versions

• Transformers 4.27.4
• Pytorch 1.13.0a0+d321be6
• Datasets 2.11.0
• Tokenizers 0.13.3