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--- |
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language: |
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- ga |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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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 Small Ga 4000 - Callum Canavan |
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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 13 |
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type: mozilla-foundation/common_voice_13_0 |
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config: ga-IE |
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split: test |
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args: ga-IE |
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metrics: |
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- name: Wer |
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type: wer |
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value: 64.32276657060518 |
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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 Small Ga 4000 - Callum Canavan |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3939 |
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- Wer Ortho: 65.7126 |
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- Wer: 64.3228 |
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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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- 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: 4000 |
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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 Ortho | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| |
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| 0.0174 | 7.58 | 500 | 1.1656 | 63.4346 | 60.4899 | |
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| 0.0009 | 15.15 | 1000 | 1.2670 | 62.3248 | 60.8069 | |
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| 0.0004 | 22.73 | 1500 | 1.3114 | 63.6974 | 62.2478 | |
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| 0.0002 | 30.3 | 2000 | 1.3408 | 64.0187 | 62.6225 | |
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| 0.0002 | 37.88 | 2500 | 1.3621 | 64.3692 | 63.0836 | |
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| 0.0001 | 45.45 | 3000 | 1.3791 | 64.3984 | 62.9971 | |
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| 0.0001 | 53.03 | 3500 | 1.3900 | 65.8294 | 64.4092 | |
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| 0.0001 | 60.61 | 4000 | 1.3939 | 65.7126 | 64.3228 | |
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### Framework versions |
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- Transformers 4.37.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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