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--- |
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language: |
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- es |
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license: apache-2.0 |
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base_model: openai/whisper-large-v2 |
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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_13_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 Spanish |
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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_13_0 es |
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type: mozilla-foundation/common_voice_13_0 |
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config: es |
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split: test |
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args: es |
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metrics: |
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- name: Wer |
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type: wer |
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value: 4.89488506963824 |
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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 Spanish |
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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 mozilla-foundation/common_voice_13_0 es dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2544 |
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- Wer: 4.8949 |
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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: 32 |
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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: 64 |
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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: 20000 |
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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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| 0.0869 | 2.0 | 1000 | 0.1754 | 6.1516 | |
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| 0.0913 | 4.0 | 2000 | 0.1652 | 5.7500 | |
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| 0.051 | 6.0 | 3000 | 0.1643 | 5.7757 | |
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| 0.0391 | 8.0 | 4000 | 0.1881 | 5.6589 | |
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| 0.0104 | 10.0 | 5000 | 0.2026 | 5.6211 | |
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| 0.0806 | 12.01 | 6000 | 0.1741 | 5.7398 | |
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| 0.0077 | 14.01 | 7000 | 0.2119 | 5.6038 | |
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| 0.0357 | 16.01 | 8000 | 0.1776 | 5.6147 | |
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| 0.1087 | 18.01 | 9000 | 0.1868 | 5.5172 | |
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| 0.0401 | 20.01 | 10000 | 0.2014 | 5.4428 | |
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| 0.0334 | 22.01 | 11000 | 0.1751 | 5.2824 | |
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| 0.0071 | 24.01 | 12000 | 0.2295 | 5.2490 | |
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| 0.0374 | 26.01 | 13000 | 0.2098 | 5.2574 | |
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| 0.0023 | 28.01 | 14000 | 0.2498 | 5.0418 | |
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| 0.0025 | 30.01 | 15000 | 0.2311 | 4.9385 | |
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| 0.0006 | 32.01 | 16000 | 0.2544 | 4.8949 | |
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| 0.0009 | 34.02 | 17000 | 0.2691 | 5.1246 | |
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| 0.003 | 36.02 | 18000 | 0.2249 | 5.0277 | |
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| 0.0009 | 38.02 | 19000 | 0.2603 | 5.0373 | |
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| 0.0008 | 40.02 | 20000 | 0.2657 | 5.0225 | |
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### Framework versions |
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- Transformers 4.33.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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