git-base-pokemon

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

• Loss: 0.3508
• Wer Score: 1.4759

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• 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
6.7934	6.6667	50	4.3583	3.1928
2.4419	13.3333	100	0.9081	2.5331
0.2955	20.0	150	0.3321	1.6566
0.0404	26.6667	200	0.3342	1.4518
0.0147	33.3333	250	0.3451	1.3524
0.0108	40.0	300	0.3522	1.4277
0.0097	46.6667	350	0.3508	1.4759

Framework versions

• Transformers 4.44.2
• Pytorch 2.5.0+cu121
• Datasets 3.0.2
• Tokenizers 0.19.1