metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - common_voice_11_0
metrics:
  - wer
model-index:
  - name: wav2vec2-large-xlsr-53-Bengali
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: common_voice_11_0
          type: common_voice_11_0
          config: bn
          split: train+validation
          args: bn
        metrics:
          - name: Wer
            type: wer
            value: 0.5156123435499465

wav2vec2-large-xlsr-53-Bengali

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.4707
Wer: 0.5156

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: 0.0003
train_batch_size: 24
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 48
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.5484	2.85	500	1.6415	1.0493
0.8446	5.71	1000	0.5394	0.6886
0.4604	8.57	1500	0.4741	0.6090
0.3466	11.43	2000	0.4685	0.5788
0.2707	14.28	2500	0.4741	0.5449
0.2317	17.14	3000	0.4661	0.5157
0.2024	20.0	3500	0.4707	0.5156

Framework versions

Transformers 4.24.0
Pytorch 1.13.1+cu116
Datasets 2.11.0
Tokenizers 0.13.2