End of training

README.md

@@ -0,0 +1,84 @@
+---
+library_name: transformers
+language:
+- ko
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- generated_from_trainer
+datasets:
+- Suchae/whisper-large-v3-ko-middlesenior-dialect-speech-v1.1
+model-index:
+- name: Suchae/whisper-large-v3-ko-middlesenior-dialect-speech-v1.1
+  results: []
+---
+
+<!-- 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. -->
+
+# Suchae/whisper-large-v3-ko-middlesenior-dialect-speech-v1.1
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Suchae/whisper-large-v3-ko-middlesenior-dialect-speech-v1.1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5249
+- Cer: 14.4500
+
+## 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-06
+- train_batch_size: 10
+- eval_batch_size: 5
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 80
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Cer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 1.333         | 0.0548 | 64   | 0.9131          | 19.4136 |
+| 1.1099        | 0.1096 | 128  | 0.7550          | 17.2538 |
+| 0.9577        | 0.1643 | 192  | 0.6955          | 17.2038 |
+| 0.9198        | 0.2191 | 256  | 0.6615          | 15.8003 |
+| 0.7995        | 0.2739 | 320  | 0.6357          | 16.5130 |
+| 0.7898        | 0.3287 | 384  | 0.6150          | 15.8066 |
+| 0.7344        | 0.3835 | 448  | 0.6022          | 14.9533 |
+| 0.7035        | 0.4383 | 512  | 0.5846          | 14.3594 |
+| 0.6936        | 0.4930 | 576  | 0.5711          | 16.6193 |
+| 0.6427        | 0.5478 | 640  | 0.5602          | 14.7063 |
+| 0.6365        | 0.6026 | 704  | 0.5530          | 15.0095 |
+| 0.6107        | 0.6574 | 768  | 0.5440          | 14.5813 |
+| 0.596         | 0.7122 | 832  | 0.5379          | 15.2315 |
+| 0.5831        | 0.7670 | 896  | 0.5357          | 15.1377 |
+| 0.5542        | 0.8217 | 960  | 0.5308          | 15.0314 |
+| 0.5675        | 0.8765 | 1024 | 0.5277          | 15.2252 |
+| 0.532         | 0.9313 | 1088 | 0.5252          | 15.6722 |
+| 0.5255        | 0.9861 | 1152 | 0.5249          | 14.4500 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu118
+- Datasets 3.0.0
+- Tokenizers 0.19.1

generation_config.json

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+  "is_multilingual": true,
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+    "<|zh|>": 50260
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+  "language": "korean",
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+  "task_to_id": {
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+  "transformers_version": "4.44.2"
+}

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