End of training

README.md

@@ -0,0 +1,82 @@
+---
+language:
+- de
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: openai/whisper-small
+  results: []
+---
+
+<!-- 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. -->
+
+# openai/whisper-small
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Hanhpt23/GermanMed-full dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6437
+- Wer: 21.9994
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.5314        | 1.0   | 194  | 0.5553          | 45.6238 |
+| 0.2492        | 2.0   | 388  | 0.5421          | 25.9694 |
+| 0.1477        | 3.0   | 582  | 0.5588          | 33.7962 |
+| 0.0954        | 4.0   | 776  | 0.5956          | 27.4915 |
+| 0.0734        | 5.0   | 970  | 0.5882          | 24.2312 |
+| 0.0494        | 6.0   | 1164 | 0.6253          | 25.1774 |
+| 0.0334        | 7.0   | 1358 | 0.6412          | 26.2676 |
+| 0.026         | 8.0   | 1552 | 0.6175          | 23.3158 |
+| 0.0149        | 9.0   | 1746 | 0.6484          | 22.3696 |
+| 0.0101        | 10.0  | 1940 | 0.6391          | 23.1102 |
+| 0.0083        | 11.0  | 2134 | 0.6371          | 22.2668 |
+| 0.0078        | 12.0  | 2328 | 0.6486          | 22.2154 |
+| 0.002         | 13.0  | 2522 | 0.6499          | 22.4725 |
+| 0.0004        | 14.0  | 2716 | 0.6438          | 22.4313 |
+| 0.0019        | 15.0  | 2910 | 0.6381          | 22.0508 |
+| 0.0011        | 16.0  | 3104 | 0.6343          | 22.0817 |
+| 0.0002        | 17.0  | 3298 | 0.6412          | 21.6806 |
+| 0.0001        | 18.0  | 3492 | 0.6428          | 21.9274 |
+| 0.0001        | 19.0  | 3686 | 0.6435          | 22.0200 |
+| 0.0002        | 20.0  | 3880 | 0.6437          | 21.9994 |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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+}

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