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update model card README.md
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README.md
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metrics:
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- name: Wer
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type: wer
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value:
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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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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: 1.
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- Wer:
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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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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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metrics:
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- name: Wer
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type: wer
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value: 168.6092926712438
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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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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: 1.0456
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- Wer: 168.6093
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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: 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: 112
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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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| 1.5299 | 0.1 | 11 | 1.5622 | 219.6711 |
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| 1.1908 | 0.2 | 22 | 1.3652 | 192.2401 |
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| 1.1161 | 0.29 | 33 | 1.1921 | 200.2395 |
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| 0.9216 | 1.05 | 44 | 1.1263 | 186.5240 |
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| 0.8441 | 1.15 | 55 | 1.0946 | 179.3230 |
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| 0.8505 | 1.25 | 66 | 1.0748 | 159.6839 |
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| 0.7844 | 2.01 | 77 | 1.0585 | 163.2924 |
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| 0.7208 | 2.11 | 88 | 1.0491 | 158.1031 |
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| 0.6481 | 2.21 | 99 | 1.0468 | 158.5183 |
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| 0.7912 | 2.3 | 110 | 1.0456 | 168.6093 |
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### Framework versions
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