large_finetune_M01

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

• Loss: 1.9064
• Wer: 0.5667

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: 75
• num_epochs: 250
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.1813	25.0	150	1.6666	0.8667
1.0121	50.0	300	1.6864	0.7667
0.0471	75.0	450	1.1663	0.6333
0.0524	100.0	600	1.6732	0.7
0.0205	125.0	750	1.9236	0.5667
0.0156	150.0	900	1.8241	0.5
0.0069	175.0	1050	1.6829	0.5
0.007	200.0	1200	1.9494	0.6
0.0022	225.0	1350	2.0226	0.5667
0.0017	250.0	1500	1.9064	0.5667

Framework versions

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