super_large_finetune_M01

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.9906
• Wer: 1.0

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: 20
• 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: 35440
• num_epochs: 200
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
10.0626	20.0	70880	3.0307	1.0
2.5319	40.0	141760	3.0316	1.0
2.4978	60.0	212640	3.0123	1.0
2.4849	80.0	283520	2.9923	1.0
2.4776	100.0	354400	3.0092	1.0
2.4733	120.0	425280	2.9964	1.0
2.4702	140.0	496160	2.9968	1.0
2.4686	160.0	567040	2.9937	1.0
2.4669	180.0	637920	2.9908	1.0
2.4661	200.0	708800	2.9906	1.0

Framework versions

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