wav2vec2-large-xlsr-53-russian-finetuned-amd

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-russian on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0611
• Accuracy: 0.9780

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1182	1.0	196	0.0611	0.9780
0.0825	2.0	392	0.0627	0.9775

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.0
• Datasets 2.12.0
• Tokenizers 0.13.3