End of training

README.md

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+---
+license: mit
+base_model: distil-whisper/distil-large-v3
+tags:
+- generated_from_trainer
+datasets:
+- ravnursson_asr
+metrics:
+- wer
+model-index:
+- name: distil-whisper-large-fo-100h-5k-steps
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: ravnursson_asr
+      type: ravnursson_asr
+      config: ravnursson_asr
+      split: test
+      args: ravnursson_asr
+    metrics:
+    - name: Wer
+      type: wer
+      value: 13.55445943225287
+---
+
+<!-- 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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/setur/huggingface/runs/z2f3h1m3)
+# distil-whisper-large-fo-100h-5k-steps
+
+This model is a fine-tuned version of [distil-whisper/distil-large-v3](https://huggingface.co/distil-whisper/distil-large-v3) on the ravnursson_asr dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2075
+- Wer: 13.5545
+
+## 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: 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
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.4469        | 0.2320 | 1000 | 0.5128          | 30.3201 |
+| 0.2995        | 0.4640 | 2000 | 0.3383          | 21.1295 |
+| 0.2338        | 0.6961 | 3000 | 0.2666          | 17.4351 |
+| 0.2009        | 0.9281 | 4000 | 0.2270          | 14.9940 |
+| 0.0963        | 1.1601 | 5000 | 0.2075          | 13.5545 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+}