EnglishModel_STT

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.1938
• 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: 0.03
• train_batch_size: 1
• eval_batch_size: 8
• seed: 45
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 300
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	0.61	300	3.1938	1.0
15.6289	1.22	600	3.1938	1.0
0.0	1.84	900	3.1938	1.0

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu113
• Datasets 2.9.0
• Tokenizers 0.10.3