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--- |
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language: |
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- multilingual |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- serge-wilson/wolof_speech_transcription |
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model-index: |
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- name: Wav2Vec2 Base Wolof |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Wav2Vec2 Base Wolof |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the serge-wilson/wolof_speech_transcription dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.2953 |
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- eval_wer: 0.3067 |
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- eval_runtime: 153.1594 |
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- eval_samples_per_second: 14.658 |
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- eval_steps_per_second: 1.835 |
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- epoch: 15.23 |
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- step: 6000 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 30 |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.0 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.0 |
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