super_large_finetune_CM01

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 7.2285
• Wer: 0.7714

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: 0.0001
• train_batch_size: 15
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 857
• num_epochs: 50
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.0031	5.0	1715	1.9766	0.7857
0.2107	10.0	3430	3.8748	0.8238
0.1393	15.0	5145	4.7403	0.7952
0.0931	20.0	6860	3.5077	0.6667
0.0649	25.0	8575	7.7419	0.9333
0.0592	30.0	10290	5.6440	0.7762
0.0396	35.0	12005	6.9629	0.6810
0.03	40.0	13720	7.8282	0.7524
0.0191	45.0	15435	6.4626	0.7429
0.0121	50.0	17150	7.2285	0.7714

Framework versions

• Transformers 4.18.0
• Pytorch 1.10.2+cu102
• Datasets 2.3.2
• Tokenizers 0.12.1