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--- |
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language: |
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- sq |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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datasets: |
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- Kaggle |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper tiny Albanian Test |
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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: Kaggle Albanian |
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type: Kaggle |
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args: 'config: sq, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 35.183525075949994 |
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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 tiny Albanian Test |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Kaggle Albanian dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4063 |
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- Wer: 35.1835 |
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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: 16 |
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- eval_batch_size: 4 |
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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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- training_steps: 3000 |
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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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| 0.5598 | 0.24 | 500 | 0.6847 | 55.6153 | |
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| 0.4449 | 0.49 | 1000 | 0.5154 | 44.8005 | |
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| 0.3986 | 0.73 | 1500 | 0.4648 | 40.5448 | |
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| 0.3684 | 0.97 | 2000 | 0.4242 | 37.3848 | |
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| 0.2517 | 1.22 | 2500 | 0.4143 | 35.9306 | |
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| 0.2467 | 1.46 | 3000 | 0.4063 | 35.1835 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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