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--- |
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base_model: zainulhakim/240615-wav2vec2-ASR-Arabs |
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license: apache-2.0 |
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metrics: |
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- wer |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: 240624-wav2vec2-ASR-Arab |
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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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# 240624-wav2vec2-ASR-Arab |
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This model is a fine-tuned version of [zainulhakim/240615-wav2vec2-ASR-Arabs](https://huggingface.co/zainulhakim/240615-wav2vec2-ASR-Arabs) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4394 |
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- Wer: 0.9293 |
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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: 5 |
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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: 500 |
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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 6.25 | 100 | 2.5463 | 1.0 | |
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| No log | 12.5 | 200 | 1.4375 | 1.0 | |
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| No log | 18.75 | 300 | 1.4394 | 0.9293 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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