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update model card README.md

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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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+ metrics:
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+ - wer
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+ model-index:
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+ - name: whisper-small-nl
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+ results: []
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+ ---
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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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+
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+ # whisper-small-nl
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+
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3777
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+ - Wer: 19.8814
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 512
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+ - eval_batch_size: 64
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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: 1000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.8378 | 0.1 | 100 | 0.4933 | 23.8827 |
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+ | 0.5547 | 0.2 | 200 | 0.4476 | 21.0578 |
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+ | 0.3905 | 0.3 | 300 | 0.4335 | 21.1689 |
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+ | 0.3766 | 0.4 | 400 | 0.4267 | 20.0528 |
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+ | 0.4164 | 0.5 | 500 | 0.4139 | 21.4329 |
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+ | 0.2939 | 0.6 | 600 | 0.3864 | 18.3671 |
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+ | 0.2632 | 0.7 | 700 | 0.3864 | 18.4319 |
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+ | 0.6066 | 0.8 | 800 | 0.3804 | 19.2748 |
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+ | 0.2075 | 1.09 | 900 | 0.3794 | 18.8904 |
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+ | 0.2102 | 1.19 | 1000 | 0.3777 | 19.8814 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.26.0.dev0
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+ - Pytorch 1.13.0+cu117
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+ - Datasets 2.7.1.dev0
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+ - Tokenizers 0.13.2