metadata

license: apache-2.0
base_model: facebook/wav2vec2-conformer-rel-pos-large
tags:
  - generated_from_trainer
datasets:
  - speech_commands
model-index:
  - name: wav2vec2-conformer-rel-pos-large-speech-commands
    results: []

wav2vec2-conformer-rel-pos-large-speech-commands

This model is a fine-tuned version of facebook/wav2vec2-conformer-rel-pos-large on the speech_commands dataset. It achieves the following results on the evaluation set:

eval_loss: 0.5969
eval_accuracy: 0.9678
eval_runtime: 128.1995
eval_samples_per_second: 77.863
eval_steps_per_second: 1.217
epoch: 9.98
step: 3310

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: 1e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.14.7.dev0
Tokenizers 0.14.1