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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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library_name: peft |
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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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base_model: openai/whisper-medium |
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model-index: |
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- name: Whisper Small Es - Sanchit Gandhi |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: 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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split: None |
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metrics: |
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- type: wer |
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value: 56.441337816315695 |
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name: Wer |
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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 Es - Sanchit Gandhi |
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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 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5129 |
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- Wer: 56.4413 |
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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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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 256 |
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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: 100 |
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- training_steps: 750 |
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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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| 6.3605 | 2.3 | 50 | 6.2660 | 55.7247 | |
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| 5.3113 | 4.6 | 100 | 5.1187 | 56.4590 | |
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| 4.2749 | 6.9 | 150 | 4.2391 | 55.6185 | |
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| 3.5266 | 9.2 | 200 | 3.4143 | 53.6719 | |
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| 3.0671 | 11.49 | 250 | 3.1045 | 49.2037 | |
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| 2.8716 | 13.79 | 300 | 2.9260 | 50.7786 | |
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| 2.7263 | 16.09 | 350 | 2.7987 | 53.5746 | |
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| 2.6467 | 18.39 | 400 | 2.7079 | 55.0787 | |
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| 2.5624 | 20.69 | 450 | 2.6443 | 55.6008 | |
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| 2.5087 | 22.99 | 500 | 2.5989 | 57.3881 | |
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| 2.4922 | 25.29 | 550 | 2.5660 | 55.9370 | |
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| 2.4274 | 27.59 | 600 | 2.5421 | 56.4325 | |
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| 2.4337 | 29.89 | 650 | 2.5257 | 57.4058 | |
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| 2.3991 | 32.18 | 700 | 2.5165 | 57.0165 | |
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| 2.4211 | 34.48 | 750 | 2.5129 | 56.4413 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.0 |
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- Datasets 2.16.2.dev0 |
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- Tokenizers 0.15.0 |
