End of training

README.md

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+---
+language:
+- ko
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- arrow
+metrics:
+- wer
+model-index:
+- name: whisper-kor_noising_6
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: whisper-kor_noising_6
+      type: arrow
+      config: default
+      split: train
+      args: 'config: ko, split: valid'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0
+---
+
+<!-- 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-kor_noising_6
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the whisper-kor_noising_6 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2294
+- Wer: 0
+- Cer: 6.9785
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 8000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:---:|:------:|
+| 0.1548        | 0.08  | 200  | 0.1871          | 0   | 6.7119 |
+| 0.1861        | 0.16  | 400  | 0.2027          | 0   | 8.5976 |
+| 0.2078        | 0.24  | 600  | 0.2138          | 0   | 6.9863 |
+| 0.2083        | 0.31  | 800  | 0.2229          | 0   | 9.1818 |
+| 0.194         | 0.39  | 1000 | 0.2235          | 0   | 7.3078 |
+| 0.1953        | 0.47  | 1200 | 0.2284          | 0   | 7.4411 |
+| 0.2188        | 0.55  | 1400 | 0.2253          | 0   | 8.4369 |
+| 0.172         | 0.63  | 1600 | 0.2283          | 0   | 7.2804 |
+| 0.1764        | 0.71  | 1800 | 0.2243          | 0   | 7.2804 |
+| 0.1821        | 0.79  | 2000 | 0.2221          | 0   | 7.1784 |
+| 0.1671        | 0.87  | 2200 | 0.2249          | 0   | 7.0138 |
+| 0.1786        | 0.94  | 2400 | 0.2242          | 0   | 7.2019 |
+| 0.0852        | 1.02  | 2600 | 0.2250          | 0   | 7.3039 |
+| 0.0919        | 1.1   | 2800 | 0.2242          | 0   | 6.9981 |
+| 0.0887        | 1.18  | 3000 | 0.2236          | 0   | 7.4293 |
+| 0.0937        | 1.26  | 3200 | 0.2249          | 0   | 7.0843 |
+| 0.0943        | 1.34  | 3400 | 0.2242          | 0   | 7.0647 |
+| 0.0912        | 1.42  | 3600 | 0.2237          | 0   | 7.2176 |
+| 0.086         | 1.5   | 3800 | 0.2259          | 0   | 7.6058 |
+| 0.0879        | 1.57  | 4000 | 0.2242          | 0   | 7.2725 |
+| 0.0881        | 1.65  | 4200 | 0.2216          | 0   | 6.8961 |
+| 0.088         | 1.73  | 4400 | 0.2197          | 0   | 7.1431 |
+| 0.0746        | 1.81  | 4600 | 0.2200          | 0   | 7.2215 |
+| 0.0776        | 1.89  | 4800 | 0.2194          | 0   | 7.0334 |
+| 0.0821        | 1.97  | 5000 | 0.2209          | 0   | 7.3392 |
+| 0.0372        | 2.05  | 5200 | 0.2306          | 0   | 7.0843 |
+| 0.033         | 2.13  | 5400 | 0.2257          | 0   | 7.1431 |
+| 0.0425        | 2.2   | 5600 | 0.2252          | 0   | 6.9589 |
+| 0.0367        | 2.28  | 5800 | 0.2263          | 0   | 8.1546 |
+| 0.0352        | 2.36  | 6000 | 0.2265          | 0   | 7.4215 |
+| 0.0339        | 2.44  | 6200 | 0.2268          | 0   | 7.0804 |
+| 0.0409        | 2.52  | 6400 | 0.2265          | 0   | 7.0255 |
+| 0.0364        | 2.6   | 6600 | 0.2260          | 0   | 6.9079 |
+| 0.039         | 2.68  | 6800 | 0.2261          | 0   | 6.8177 |
+| 0.0375        | 2.75  | 7000 | 0.2266          | 0   | 6.9902 |
+| 0.0381        | 2.83  | 7200 | 0.2256          | 0   | 6.8648 |
+| 0.0291        | 2.91  | 7400 | 0.2252          | 0   | 7.1000 |
+| 0.0342        | 2.99  | 7600 | 0.2236          | 0   | 6.9393 |
+| 0.019         | 3.07  | 7800 | 0.2282          | 0   | 6.9942 |
+| 0.0188        | 3.15  | 8000 | 0.2294          | 0   | 6.9785 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.1+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
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+    [
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+      3
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+    [
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+      4
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+      8,
+      7
+    ],
+    [
+      8,
+      8
+    ],
+    [
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+    [
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+    [
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+    [
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+  ],
+  "begin_suppress_tokens": [
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+  "forced_decoder_ids": [
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+  "is_multilingual": true,
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+}