End of training

README.md

@@ -1,199 +1,85 @@
 ---
-library_name: transformers
-tags: []
+license: apache-2.0
+base_model: NbAiLab/nb-whisper-medium-verbatim
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: nb-whisper-medium-karelian-CodeSwitching
+  results: []
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
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-### Model Description
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-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-
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-## Uses
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-## How to Get Started with the Model
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+<!-- 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. -->
+
+# nb-whisper-medium-karelian-CodeSwitching
+
+This model is a fine-tuned version of [NbAiLab/nb-whisper-medium-verbatim](https://huggingface.co/NbAiLab/nb-whisper-medium-verbatim) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5439
+- Wer: 0.2585
+- Cer: 0.0714
+
+## 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: 16
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- 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    | Cer    |
+|:-------------:|:-------:|:-----:|:---------------:|:------:|:------:|
+| 0.2467        | 1.1351  | 500   | 0.5664          | 0.3488 | 0.0895 |
+| 0.0718        | 2.2701  | 1000  | 0.5562          | 0.3166 | 0.0819 |
+| 0.0513        | 3.4052  | 1500  | 0.5366          | 0.2997 | 0.0798 |
+| 0.0377        | 4.5403  | 2000  | 0.5430          | 0.2815 | 0.0730 |
+| 0.0339        | 5.6754  | 2500  | 0.5444          | 0.2906 | 0.0755 |
+| 0.0263        | 6.8104  | 3000  | 0.5439          | 0.2757 | 0.0735 |
+| 0.0182        | 7.9455  | 3500  | 0.5474          | 0.2754 | 0.0741 |
+| 0.0141        | 9.0806  | 4000  | 0.5625          | 0.2808 | 0.0758 |
+| 0.0117        | 10.2157 | 4500  | 0.5537          | 0.2662 | 0.0716 |
+| 0.0122        | 11.3507 | 5000  | 0.5610          | 0.2703 | 0.0726 |
+| 0.0118        | 12.4858 | 5500  | 0.5557          | 0.2686 | 0.0720 |
+| 0.0075        | 13.6209 | 6000  | 0.5522          | 0.2673 | 0.0711 |
+| 0.0069        | 14.7560 | 6500  | 0.5576          | 0.2764 | 0.0745 |
+| 0.0072        | 15.8910 | 7000  | 0.5562          | 0.2676 | 0.0705 |
+| 0.0085        | 17.0261 | 7500  | 0.5474          | 0.2713 | 0.0868 |
+| 0.0041        | 18.1612 | 8000  | 0.5493          | 0.2639 | 0.0716 |
+| 0.0041        | 19.2963 | 8500  | 0.5493          | 0.2612 | 0.0712 |
+| 0.0041        | 20.4313 | 9000  | 0.5449          | 0.2554 | 0.0699 |
+| 0.004         | 21.5664 | 9500  | 0.5444          | 0.2591 | 0.0708 |
+| 0.0028        | 22.7015 | 10000 | 0.5439          | 0.2585 | 0.0714 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+}

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