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update model card README.md
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README.md
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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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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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# 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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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size:
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- eval_batch_size:
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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.
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- training_steps:
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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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| 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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- generated_from_trainer
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datasets:
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- fleurs
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model-index:
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- name: openai/whisper-tiny
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results: []
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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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# 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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## Model description
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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: 4
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- eval_batch_size: 2
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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: 0.5
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- training_steps: 2
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.26.0.dev0
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