wav2vec2-xlsr-multilingual-56-finetuned-amd

This model is a fine-tuned version of voidful/wav2vec2-xlsr-multilingual-56 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3884
• Accuracy: 0.8675

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
0.2048	1.0	196	0.5159	0.7974
0.2246	2.0	392	0.3884	0.8675

Framework versions

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