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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: openai/whisper-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- razhan/DOLMA-speech |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-base-zza |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: razhan/DOLMA-speech zazaki |
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type: razhan/DOLMA-speech |
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args: zazaki |
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metrics: |
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- name: Wer |
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type: wer |
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value: 1.2574447646493756 |
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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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# whisper-base-zza |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the razhan/DOLMA-speech zazaki dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.0956 |
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- Wer: 1.2574 |
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- Cer: 1.0132 |
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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: 1e-05 |
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- train_batch_size: 192 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- total_train_batch_size: 384 |
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- total_eval_batch_size: 256 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 1 |
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- num_epochs: 5.0 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| No log | 1.0 | 1 | 4.7831 | 1.2622 | 1.0146 | |
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| No log | 2.0 | 2 | 4.7831 | 1.2622 | 1.0146 | |
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| No log | 3.0 | 3 | 4.7831 | 1.2622 | 1.0146 | |
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| No log | 4.0 | 4 | 4.7831 | 1.2622 | 1.0146 | |
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| No log | 5.0 | 5 | 4.0956 | 1.2574 | 1.0132 | |
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### Framework versions |
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- Transformers 4.49.0.dev0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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