End of training

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- whisper-event
+- generated_from_trainer
+datasets:
+- common_voice_14_0
+metrics:
+- wer
+model-index:
+- name: Whisper da-nst
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_14_0
+      type: common_voice_14_0
+      config: da
+      split: test
+      args: da
+    metrics:
+    - name: Wer
+      type: wer
+      value: 35.3093792833366
+---
+
+<!-- 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 da-nst
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the common_voice_14_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7234
+- Wer: 35.3094
+
+## 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: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0133        | 4.04  | 1000 | 0.6362          | 48.9279 |
+| 0.0025        | 9.04  | 2000 | 0.6635          | 37.4731 |
+| 0.0001        | 14.03 | 3000 | 0.6959          | 34.1296 |
+| 0.0001        | 19.03 | 4000 | 0.7166          | 35.1821 |
+| 0.0           | 24.03 | 5000 | 0.7234          | 35.3094 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.1

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