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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-medium |
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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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- CV_Albanian |
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model-index: |
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- name: Whisper Medium CV Test |
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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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# Whisper Medium CV Test |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the CV Albanian dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.7844 |
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- eval_wer: 39.9593 |
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- eval_runtime: 186.4098 |
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- eval_samples_per_second: 2.06 |
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- eval_steps_per_second: 0.257 |
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- epoch: 37.04 |
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- step: 2000 |
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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 results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.0338 | 0.2 | 500 | 0.7342 | 45.9470 | |
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| 0.0026 | 0.4 | 1000 | 0.7724 | 40.4887 | |
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| 0.0008 | 0.8 | 1500 | 0.7513 | 39.7148 | |
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| 0.0001 | 1.0 | 2000 | 0.7844 | 39.9592 | |
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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: 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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- training_steps: 5000 |
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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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