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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- fleurs |
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metrics: |
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- wer |
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model-index: |
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- name: openai/whisper-tiny |
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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: fleurs |
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type: fleurs |
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config: en_us |
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split: validation |
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args: en_us |
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metrics: |
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- name: Wer |
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type: wer |
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value: 19.3465805193222 |
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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-tiny |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the fleurs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5568 |
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- Wer: 19.3466 |
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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: 64 |
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- eval_batch_size: 32 |
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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_ratio: 0.2 |
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- training_steps: 407 |
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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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| 1.1599 | 0.1 | 40 | 1.1427 | 15.2139 | |
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| 0.4655 | 1.1 | 80 | 0.5613 | 17.5911 | |
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| 0.2753 | 2.09 | 120 | 0.5241 | 17.2132 | |
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| 0.2077 | 3.09 | 160 | 0.5242 | 17.2620 | |
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| 0.1636 | 4.09 | 200 | 0.5290 | 17.6643 | |
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| 0.1322 | 5.09 | 240 | 0.5351 | 18.2128 | |
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| 0.123 | 6.08 | 280 | 0.5429 | 18.9077 | |
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| 0.1074 | 7.08 | 320 | 0.5500 | 19.0540 | |
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| 0.1007 | 8.08 | 360 | 0.5553 | 19.3100 | |
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| 0.0876 | 9.08 | 400 | 0.5568 | 19.3466 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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