README.md

metadata

language:
  - ab
license: apache-2.0
tags:
  - speech-recognition
  - common_voice
  - generated_from_trainer
model-index:
  - name: wav2vec2-common_voice-ab-demo
    results: []

wav2vec2-common_voice-ab-demo

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

• Loss: 15.1812
• Wer: 1.0

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: 4
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 32
• total_eval_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 15.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.11.0.dev0
• Pytorch 1.9.0+cu111
• Datasets 1.12.1
• Tokenizers 0.10.3