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