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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 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper medium Greek 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 el |
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type: mozilla-foundation/common_voice_11_0 |
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config: el |
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split: test |
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args: el |
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metrics: |
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- name: Wer |
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type: wer |
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value: 9.899702823179792 |
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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 Greek El Greco |
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This model is a fine-tuned version of [emilios/whisper-medium-el-n2](https://huggingface.co/emilios/whisper-medium-el-n2) on the mozilla-foundation/common_voice_11_0 el dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5669 |
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- Wer: 9.8997 |
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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: 3e-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: 11000 |
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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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| 0.0014 | 58.82 | 1000 | 0.4951 | 10.3640 | |
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| 0.0006 | 117.65 | 2000 | 0.5181 | 10.2805 | |
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| 0.0007 | 175.82 | 3000 | 0.5317 | 10.1133 | |
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| 0.0004 | 234.65 | 4000 | 0.5396 | 10.1226 | |
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| 0.0004 | 293.47 | 5000 | 0.5532 | 10.1040 | |
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| 0.0013 | 352.29 | 6000 | 0.5645 | 10.0854 | |
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| 0.0002 | 411.12 | 7000 | 0.5669 | 10.1133 | |
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| 0.0001 | 469.94 | 8000 | 0.5669 | 9.8997 | |
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| 0.0001 | 528.76 | 9000 | 0.5645 | 9.9276 | |
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| 0.0001 | 587.82 | 10000 | 0.5674 | 9.9647 | |
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| 0.0003 | 646.82 | 11000 | 0.5669 | 9.9461 | |
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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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