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README.md

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+---
+license: apache-2.0
+tags:
+- whisper-event
+- generated_from_trainer
+datasets:
+- data/copas
+metrics:
+- wer
+model-index:
+- name: Whisper Small dysarthric Dutch
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: data/copas copas-full
+      type: data/copas
+      config: copas-full
+      split: test
+      args: copas-full
+    metrics:
+    - name: Wer
+      type: wer
+      value: 22.163827473722364
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Whisper Small dysarthric Dutch
+
+This model is a fine-tuned version of [qmeeus/whisper-small-nl](https://huggingface.co/qmeeus/whisper-small-nl) on the data/copas copas-full dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4702
+- Wer: 22.1638
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 10000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer     |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 0.1618        | 0.05  | 500   | 0.3787          | 28.9235 |
+| 0.0583        | 1.05  | 1000  | 0.3732          | 25.7702 |
+| 0.0382        | 2.05  | 1500  | 0.4001          | 25.4621 |
+| 0.0316        | 3.05  | 2000  | 0.4081          | 24.7010 |
+| 0.0169        | 4.05  | 2500  | 0.4325          | 24.1935 |
+| 0.0153        | 5.05  | 3000  | 0.4325          | 33.4179 |
+| 0.0074        | 6.05  | 3500  | 0.4367          | 23.9398 |
+| 0.0096        | 7.05  | 4000  | 0.4390          | 23.3055 |
+| 0.0054        | 8.05  | 4500  | 0.4441          | 23.7042 |
+| 0.0032        | 9.04  | 5000  | 0.4493          | 23.2693 |
+| 0.004         | 10.04 | 5500  | 0.4524          | 23.3418 |
+| 0.0048        | 11.04 | 6000  | 0.4498          | 23.7224 |
+| 0.001         | 12.04 | 6500  | 0.4577          | 22.8887 |
+| 0.0002        | 13.04 | 7000  | 0.4577          | 22.0913 |
+| 0.0001        | 14.04 | 7500  | 0.4616          | 22.1276 |
+| 0.0001        | 15.04 | 8000  | 0.4639          | 22.2726 |
+| 0.0001        | 16.04 | 8500  | 0.4662          | 22.1095 |
+| 0.0001        | 17.04 | 9000  | 0.4684          | 22.1457 |
+| 0.0001        | 18.04 | 9500  | 0.4697          | 22.1457 |
+| 0.0001        | 19.04 | 10000 | 0.4702          | 22.1638 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.12.1+cu116
+- Datasets 2.4.0
+- Tokenizers 0.12.1

runs/Jan01_23-59-25_aristoteles.esat.kuleuven.be/1672613975.2961907/events.out.tfevents.1672613975.aristoteles.esat.kuleuven.be.40.1

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