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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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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_11_0,google/fleurs |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper small Greek Farsipal and El Greco |
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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: mozilla-foundation/common_voice_11_0,google/fleurs el,el_gr |
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type: mozilla-foundation/common_voice_11_0,google/fleurs |
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config: el |
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split: None |
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metrics: |
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- name: Wer |
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type: wer |
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value: 16.493313521545318 |
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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 small Greek Farsipal and El Greco |
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This model is a fine-tuned version of [emilios/whisper-sm-farsipal-e5](https://huggingface.co/emilios/whisper-sm-farsipal-e5) on the mozilla-foundation/common_voice_11_0,google/fleurs el,el_gr dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5015 |
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- Wer: 16.4933 |
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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-06 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.0004 | 2.49 | 1000 | 0.4797 | 16.7348 | |
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| 0.0003 | 4.98 | 2000 | 0.4895 | 16.5397 | |
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| 0.0002 | 7.46 | 3000 | 0.4963 | 16.5119 | |
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| 0.0002 | 9.95 | 4000 | 0.5015 | 16.4933 | |
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| 0.0002 | 12.44 | 5000 | 0.5034 | 16.5676 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 2.0.0.dev20221216+cu116 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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