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--- |
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language: |
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- el |
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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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- AMoustakis/test-dataset |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Base Greek |
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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: Test Dataset for greek language |
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type: AMoustakis/test-dataset |
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args: 'split: train' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 61.77777777777778 |
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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 Greek |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Test Dataset for greek language dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2675 |
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- Wer: 61.7778 |
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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: 0.001 |
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- train_batch_size: 3 |
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- eval_batch_size: 1 |
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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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- num_epochs: 5 |
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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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| 0.9014 | 1.0 | 4 | 0.5733 | 74.5185 | |
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| 0.4829 | 2.0 | 8 | 0.4158 | 64.4444 | |
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| 0.5963 | 3.0 | 12 | 0.3257 | 65.0370 | |
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| 0.3399 | 4.0 | 16 | 0.2857 | 61.7778 | |
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| 0.4436 | 5.0 | 20 | 0.2675 | 61.7778 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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