README.md

metadata

language:
  - tr
license: apache-2.0
tags:
  - automatic-speech-recognition
  - common_voice
  - generated_from_trainer
  - xls_r_repro_common_voice_tr
datasets:
  - common_voice
model-index:
  - name: wav2vec2-large-xlsr-53-common_voice-tr-ft
    results: []

wav2vec2-large-xlsr-53-common_voice-tr-ft

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the COMMON_VOICE - TR dataset. It achieves the following results on the evaluation set:

• Loss: 0.4231
• Wer: 0.3104
• Cer: 0.0737

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: 0.0005
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 64
• 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: 100.0
• mixed_precision_training: Native AMP

Training results

see under Training Metrics Tab.

Framework versions

• Transformers 4.13.0.dev0
• Pytorch 1.9.0+cu111
• Datasets 1.15.2.dev0
• Tokenizers 0.10.3