git-base-yy

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: 0.5227
• Wer Score: 2.4121

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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 50
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Score
3.6336	5.0	50	4.6676	1.2862
1.318	10.0	100	0.9472	0.9491
0.2607	15.0	150	0.4883	0.9379
0.1207	20.0	200	0.4908	0.9526
0.075	25.0	250	0.4996	1.2448
0.0458	30.0	300	0.5111	1.3698
0.0336	35.0	350	0.5164	2.1043
0.0272	40.0	400	0.5194	1.2397
0.0238	45.0	450	0.5231	2.6802
0.0216	50.0	500	0.5227	2.4121

Framework versions

• Transformers 4.52.4
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.2