wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod6

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the xtreme_s dataset. It achieves the following results on the evaluation set:

• Loss: 0.9273
• Wer: 0.4653

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: 0.001
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 600
• num_epochs: 120
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.8946	18.18	300	2.8697	1.0
1.0963	36.36	600	0.8022	0.5904
0.1715	54.55	900	0.9387	0.5567
0.0953	72.73	1200	0.9120	0.5082
0.0651	90.91	1500	0.9362	0.4854
0.044	109.09	1800	0.9273	0.4653

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1