End of training

README.md

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+---
+language:
+- hi
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- aihub_elder
+model-index:
+- name: whisper-small-ko-E10_Yfreq
+  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-small-ko-E10_Yfreq
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub elder over 70 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2085
+- Cer: 6.3029
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2909        | 0.13  | 100  | 0.2830          | 7.4307 |
+| 0.1788        | 0.26  | 200  | 0.2478          | 6.5378 |
+| 0.1644        | 0.39  | 300  | 0.2375          | 6.4967 |
+| 0.1614        | 0.52  | 400  | 0.2265          | 6.3675 |
+| 0.1458        | 0.64  | 500  | 0.2243          | 6.1971 |
+| 0.1368        | 0.77  | 600  | 0.2217          | 7.0665 |
+| 0.1226        | 0.9   | 700  | 0.2216          | 6.3029 |
+| 0.0553        | 1.03  | 800  | 0.2162          | 5.9563 |
+| 0.0499        | 1.16  | 900  | 0.2187          | 5.9680 |
+| 0.0597        | 1.29  | 1000 | 0.2153          | 5.9211 |
+| 0.0456        | 1.42  | 1100 | 0.2121          | 6.5789 |
+| 0.0495        | 1.55  | 1200 | 0.2128          | 6.6024 |
+| 0.0558        | 1.68  | 1300 | 0.2095          | 6.3675 |
+| 0.044         | 1.81  | 1400 | 0.2081          | 6.3969 |
+| 0.0424        | 1.93  | 1500 | 0.2085          | 6.3029 |
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.0
+- Tokenizers 0.15.0

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+}

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