daniel_asr

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4565
• Wer: 0.3423

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: 32
• 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: 1000
• num_epochs: 30
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.4909	4.0	500	1.3485	0.8887
0.5887	8.0	1000	0.4957	0.4641
0.2207	12.0	1500	0.4621	0.3971
0.125	16.0	2000	0.4339	0.3756
0.0829	20.0	2500	0.4618	0.3613
0.0601	24.0	3000	0.4564	0.3535
0.0456	28.0	3500	0.4565	0.3423

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu111
• Datasets 1.13.3
• Tokenizers 0.10.3