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--- |
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license: apache-2.0 |
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base_model: openai/whisper-large-v3 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- DewiBrynJones/commonvoice_18_0_cy |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-large-v3-ft-cv-cy-train-all |
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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: DewiBrynJones/commonvoice_18_0_cy default |
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type: DewiBrynJones/commonvoice_18_0_cy |
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args: default |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.18173684838363355 |
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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-v3-ft-cv-cy-train-all |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the DewiBrynJones/commonvoice_18_0_cy default dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3638 |
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- Wer: 0.1817 |
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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: 16 |
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- seed: 42 |
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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: 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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| 0.1429 | 1.9455 | 1000 | 0.2754 | 0.2208 | |
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| 0.0232 | 3.8911 | 2000 | 0.2916 | 0.1991 | |
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| 0.0046 | 5.8366 | 3000 | 0.3219 | 0.1878 | |
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| 0.0009 | 7.7821 | 4000 | 0.3454 | 0.1832 | |
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| 0.0004 | 9.7276 | 5000 | 0.3638 | 0.1817 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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