metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - common_voice
model-index:
  - name: wav2vec2-large-mn-pretrain-42h-finetuned
    results: []

wav2vec2-large-mn-pretrain-42h-finetuned

This model is a fine-tuned version of bayartsogt/wav2vec2-large-mn-pretrain-42h on the common_voice dataset. It achieves the following results on the evaluation set:

eval_loss: 3.2032
eval_wer: 1.0
eval_cer: 1.0
eval_runtime: 229.9508
eval_samples_per_second: 8.202
eval_steps_per_second: 1.026
epoch: 25.4
step: 3200

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: 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: 500
training_steps: 10000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1