Peacockery
/

wav2vec2-base-phoneme-en

Automatic Speech Recognition

Generated from Trainer

Model card Files Files and versions

wav2vec2-base-phoneme-en

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset.

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1318
num_epochs: 3

Framework versions

Transformers 5.2.0
Pytorch 2.8.0+cu128
Datasets 4.5.0
Tokenizers 0.22.2

Downloads last month: 6

Safetensors

Model size

94.4M params

Tensor type

F32

·

Model tree for Peacockery/wav2vec2-base-phoneme-en

Base model

facebook/wav2vec2-base

Finetuned

(970)

this model