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--- |
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language: |
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- lv |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- hf-asr-leaderboard |
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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 Large-v2 Latvian |
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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 lv |
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type: mozilla-foundation/common_voice_11_0 |
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config: lv |
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split: test |
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args: lv |
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metrics: |
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- name: Wer |
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type: wer |
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value: 19.97153700189753 |
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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 Large-v2 Latvian |
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This model is a fine-tuned version of [p4b/whisper-large-v2-lv](https://huggingface.co/p4b/whisper-large-v2-lv) on the mozilla-foundation/common_voice_11_0 lv dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2593 |
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- Wer: 19.9715 |
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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-07 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 900 |
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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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| 0.7919 | 3.03 | 200 | 0.2793 | 22.5806 | |
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| 0.4409 | 6.05 | 400 | 0.2651 | 20.6072 | |
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| 0.4393 | 10.01 | 600 | 0.2600 | 20.0664 | |
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| 0.4975 | 13.04 | 800 | 0.2593 | 19.9715 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 2.0.0.dev20221218+cu116 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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