End of training

README.md

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+---
+language:
+- tr
+license: apache-2.0
+base_model: openai/whisper-large-v2
+tags:
+- whisper-event
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_16_1
+metrics:
+- wer
+model-index:
+- name: 'Whisper Large V2 Tr '
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 16.1
+      type: mozilla-foundation/common_voice_16_1
+      config: tr
+      split: None
+      args: tr
+    metrics:
+    - name: Wer
+      type: wer
+      value: 10.87659484728129
+---
+
+<!-- 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 Large V2 Tr 
+
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the Common Voice 16.1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1700
+- Wer: 10.8766
+
+## 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: 5e-05
+- train_batch_size: 16
+- 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: 500
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.1647        | 1.0   | 2738 | 0.2230          | 15.6726 |
+| 0.0574        | 2.0   | 5476 | 0.1874          | 12.6551 |
+| 0.0107        | 3.0   | 8214 | 0.1700          | 10.8766 |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

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