chmanoj/xls-r-2B-te

This model is a fine-tuned version of facebook/wav2vec2-xls-r-2b on the OPENSLR_SLR66 - NA dataset. It achieves the following results on the evaluation set:

• Loss: 0.4253
• Wer: 0.5109

Evaluation metrics

Metric	Split	Decode with LM	Value
WER	Train	No
CER	Train	No
WER	Test	No
CER	Test	No
WER	Train	Yes
CER	Train	Yes
WER	Test	Yes
CER	Test	Yes

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: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 12
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• learning_rate: 3e-6
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2000
• num_epochs: 150.0
• hidden_dropout: 0.15
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.16.0.dev0
• Pytorch 1.10.1+cu102
• Datasets 1.17.1.dev0
• Tokenizers 0.11.0