Model save

README.md

@@ -0,0 +1,88 @@
+---
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: whisper-tiny-ko-common
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_17_0
+      type: common_voice_17_0
+      config: ko
+      split: None
+      args: ko
+    metrics:
+    - name: Wer
+      type: wer
+      value: 61.8411000763942
+---
+
+<!-- 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-tiny-ko-common
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_17_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3774
+- Cer: 30.0833
+- Wer: 61.8411
+- Cer Wer Avg: 45.9622
+
+## 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: 10000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch    | Step  | Validation Loss | Cer     | Wer     | Cer Wer Avg |
+|:-------------:|:--------:|:-----:|:---------------:|:-------:|:-------:|:-----------:|
+| 0.0005        | 22.2222  | 1000  | 1.0691          | 27.3648 | 58.8235 | 43.0942     |
+| 0.0002        | 44.4444  | 2000  | 1.1396          | 30.6350 | 62.9488 | 46.7919     |
+| 0.0001        | 66.6667  | 3000  | 1.1884          | 31.1967 | 63.5982 | 47.3974     |
+| 0.0001        | 88.8889  | 4000  | 1.2300          | 31.4776 | 64.2093 | 47.8435     |
+| 0.0           | 111.1111 | 5000  | 1.2656          | 31.7284 | 64.7441 | 48.2362     |
+| 0.0           | 133.3333 | 6000  | 1.2993          | 32.1396 | 65.0497 | 48.5946     |
+| 0.0           | 155.5556 | 7000  | 1.3272          | 32.3804 | 64.9351 | 48.6577     |
+| 0.0           | 177.7778 | 8000  | 1.3518          | 29.9829 | 61.8029 | 45.8929     |
+| 0.0           | 200.0    | 9000  | 1.3693          | 30.1836 | 61.8793 | 46.0314     |
+| 0.0           | 222.2222 | 10000 | 1.3774          | 30.0833 | 61.8411 | 45.9622     |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+      2
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+    [
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+    [
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+    [
+      3,
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+    ],
+    [
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+    [
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+      5
+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "language": "korean",
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+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
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+  "task": "transcribe",
+  "task_to_id": {
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+  "transformers_version": "4.41.2"
+}

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