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--- |
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language: |
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- sr |
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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 medium Serbian 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 sr,sr_rs |
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type: mozilla-foundation/common_voice_11_0,google/fleurs |
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config: sr |
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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: 12.140833670578713 |
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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 Serbian El Greco |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0,google/fleurs sr,sr_rs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4868 |
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- Wer: 12.1408 |
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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: 10000 |
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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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| 0.0222 | 2.72 | 1000 | 0.3442 | 14.0834 | |
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| 0.0032 | 5.43 | 2000 | 0.4106 | 14.5285 | |
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| 0.0011 | 8.15 | 3000 | 0.4331 | 12.8693 | |
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| 0.0029 | 10.87 | 4000 | 0.3948 | 12.6265 | |
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| 0.0012 | 13.59 | 5000 | 0.4512 | 12.6669 | |
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| 0.0009 | 16.3 | 6000 | 0.4890 | 12.7479 | |
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| 0.001 | 19.02 | 7000 | 0.4868 | 12.1408 | |
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| 0.0016 | 21.74 | 8000 | 0.4780 | 12.7074 | |
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| 0.0002 | 24.46 | 9000 | 0.4902 | 12.2218 | |
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| 0.0012 | 27.17 | 10000 | 0.5059 | 12.6669 | |
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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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