metadata

base_model: TifinLab/wav2vec2-kabyle
library_name: transformers
tags:
  - generated_from_trainer
model-index:
  - name: wav2vec2-berber
    results: []

wav2vec2-berber

This model is a fine-tuned version of TifinLab/wav2vec2-kabyle on the None 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: 9.6e-05
train_batch_size: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_steps: 500
num_epochs: 6
mixed_precision_training: Native AMP

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1