End of training

README.md

@@ -0,0 +1,71 @@
+---
+language:
+- ko
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- INo0121/low_quality_call_voice
+model-index:
+- name: Whisper Base for Korean Low quaiity Call Voices
+  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. -->
+
+# Whisper Base for Korean Low quaiity Call Voices
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Korean Low Quaiity Call Voices dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5102
+- Cer: 31.4525
+
+## 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: 8000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.6644        | 0.48  | 1000 | 0.6600          | 42.3757 |
+| 0.5769        | 0.97  | 2000 | 0.5747          | 35.0448 |
+| 0.4652        | 1.45  | 3000 | 0.5467          | 32.5385 |
+| 0.4504        | 1.93  | 4000 | 0.5234          | 32.5923 |
+| 0.352         | 2.42  | 5000 | 0.5199          | 33.8982 |
+| 0.3305        | 2.9   | 6000 | 0.5097          | 31.1140 |
+| 0.2886        | 3.38  | 7000 | 0.5124          | 32.0912 |
+| 0.2983        | 3.86  | 8000 | 0.5102          | 31.4525 |
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

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+}

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