metadata

license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
  - generated_from_trainer
datasets:
  - timit_asr
model-index:
  - name: wav2vec2-large-xlsr-phoneme-recongition
    results: []

wav2vec2-large-xlsr-phoneme-recongition

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

eval_loss: 0.2235
eval_wer: 0.1636
eval_runtime: 49.752
eval_samples_per_second: 33.767
eval_steps_per_second: 4.221
epoch: 25.53
step: 3600

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: 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
num_epochs: 30

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3