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---
library_name: transformers
base_model: TifinLab/wav2vec2-berber
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-kab
results: []
language:
- kab
- zgh
datasets:
- mozilla-foundation/common_voice_17_0
- TutlaytAI/tamazight_asr
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-kab
This model is a fine-tuned version of [TifinLab/wav2vec2-berber](https://huggingface.co/TifinLab/wav2vec2-berber) 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: 15
- 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 |