End of training

README.md

@@ -0,0 +1,89 @@
+---
+language:
+- ko
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- kresnik/zeroth_korean
+metrics:
+- wer
+model-index:
+- name: openai/whisper-base-Ko
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: kresnik/zeroth_korean
+      type: kresnik/zeroth_korean
+      config: clean
+      split: test
+      args: 'config: ko, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 6.550218340611353
+---
+
+<!-- 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-base-Ko
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the kresnik/zeroth_korean dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0970
+- Wer: 6.5502
+- Cer: 2.9012
+
+## 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: 32
+- eval_batch_size: 16
+- 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
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
+| 0.3775        | 0.72  | 500  | 0.2690          | 22.8580 | 8.2443 |
+| 0.1316        | 1.44  | 1000 | 0.1760          | 15.9012 | 6.8624 |
+| 0.0658        | 2.16  | 1500 | 0.1285          | 10.6761 | 4.2753 |
+| 0.0273        | 2.87  | 2000 | 0.1133          | 10.6309 | 5.0251 |
+| 0.0112        | 3.59  | 2500 | 0.1040          | 8.0560  | 3.3448 |
+| 0.0055        | 4.31  | 3000 | 0.1010          | 7.3633  | 3.2389 |
+| 0.0024        | 5.03  | 3500 | 0.0979          | 6.6105  | 2.9837 |
+| 0.0013        | 5.75  | 4000 | 0.0967          | 6.7309  | 2.9680 |
+| 0.0009        | 6.47  | 4500 | 0.0967          | 6.6707  | 2.9405 |
+| 0.0008        | 7.18  | 5000 | 0.0970          | 6.5502  | 2.9012 |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 1.12.1
+- Datasets 2.14.5
+- Tokenizers 0.13.3

generation_config.json

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+}

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