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--- |
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library_name: transformers |
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language: |
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- lv |
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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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- mozilla-foundation/common_voice_17_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper medium LV - Felikss Kleins |
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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: Common Voice 17.0 |
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type: mozilla-foundation/common_voice_17_0 |
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config: lv |
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split: None |
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args: 'config: lv, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 67.95180722891565 |
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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 LV - Felikss Kleins |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 17.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1313 |
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- Wer: 67.9518 |
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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: 5e-06 |
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- train_batch_size: 6 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 12 |
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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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- mixed_precision_training: Native AMP |
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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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| No log | 23.0009 | 200 | 0.9920 | 47.2289 | |
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| 1.4829 | 47.0001 | 400 | 0.7982 | 48.9157 | |
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| 0.046 | 70.001 | 600 | 0.9576 | 51.3253 | |
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| 0.011 | 94.0002 | 800 | 0.9129 | 49.3976 | |
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| 0.0057 | 117.0011 | 1000 | 0.9789 | 51.3253 | |
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| 0.0057 | 141.0003 | 1200 | 1.0248 | 51.8072 | |
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| 0.005 | 164.0012 | 1400 | 1.0504 | 53.4940 | |
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| 0.0021 | 188.0004 | 1600 | 1.0447 | 67.9518 | |
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| 0.0015 | 211.0013 | 1800 | 1.0433 | 73.2530 | |
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| 0.0012 | 235.0005 | 2000 | 1.0646 | 55.1807 | |
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| 0.0012 | 258.0014 | 2200 | 1.1244 | 53.7349 | |
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| 0.0007 | 282.0006 | 2400 | 1.1156 | 59.5181 | |
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| 0.0006 | 305.0015 | 2600 | 1.1081 | 58.5542 | |
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| 0.0009 | 329.0007 | 2800 | 1.0342 | 54.4578 | |
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| 0.0006 | 352.0016 | 3000 | 1.0215 | 50.8434 | |
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| 0.0006 | 376.0008 | 3200 | 1.0619 | 56.6265 | |
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| 0.0004 | 399.0017 | 3400 | 1.1083 | 55.4217 | |
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| 0.0003 | 423.0009 | 3600 | 1.0970 | 56.8675 | |
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| 0.0006 | 447.0001 | 3800 | 1.1047 | 59.0361 | |
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| 0.0003 | 470.001 | 4000 | 1.1033 | 56.1446 | |
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| 0.0003 | 494.0002 | 4200 | 1.1003 | 57.5904 | |
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| 0.0002 | 517.0011 | 4400 | 1.1133 | 68.4337 | |
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| 0.0002 | 541.0003 | 4600 | 1.1146 | 69.3976 | |
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| 0.0001 | 564.0012 | 4800 | 1.1267 | 69.8795 | |
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| 0.0001 | 588.0004 | 5000 | 1.1313 | 67.9518 | |
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### Framework versions |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.0.1 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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