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--- |
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language: |
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- br |
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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: openai/whisper-large-v2-breton |
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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 11.0 |
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type: mozilla-foundation/common_voice_11_0 |
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config: br |
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split: test |
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args: br |
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metrics: |
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- name: Wer |
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type: wer |
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value: 39.92705800625217 |
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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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# openai/whisper-large-v2-breton |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the Common Voice 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7162 |
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- Wer: 39.9271 |
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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-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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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: 32 |
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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: 50 |
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- training_steps: 1000 |
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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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| 0.7423 | 0.1 | 100 | 0.8363 | 57.1553 | |
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| 0.4361 | 1.07 | 200 | 0.6833 | 46.7176 | |
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| 0.2227 | 2.03 | 300 | 0.6483 | 42.5929 | |
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| 0.1472 | 3.0 | 400 | 0.6511 | 42.4627 | |
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| 0.0892 | 3.1 | 500 | 0.6633 | 40.9604 | |
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| 0.0651 | 4.07 | 600 | 0.6807 | 39.7534 | |
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| 0.0416 | 5.04 | 700 | 0.6870 | 41.2383 | |
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| 0.0352 | 6.0 | 800 | 0.7315 | 39.9010 | |
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| 0.022 | 6.1 | 900 | 0.7201 | 40.4307 | |
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| 0.0195 | 7.07 | 1000 | 0.7162 | 39.9271 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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