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-E2.1-SA
+  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-E2.1-SA
+
+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: 0.1587
+- Cer: 4.5054
+
+## 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    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.4621        | 0.13  | 100  | 0.2838          | 5.9563 |
+| 0.3338        | 0.26  | 200  | 0.2081          | 5.6215 |
+| 0.3232        | 0.39  | 300  | 0.1974          | 5.3513 |
+| 0.2781        | 0.52  | 400  | 0.1949          | 5.4159 |
+| 0.2583        | 0.64  | 500  | 0.1817          | 5.2103 |
+| 0.2485        | 0.77  | 600  | 0.1745          | 4.7874 |
+| 0.237         | 0.9   | 700  | 0.1699          | 4.8285 |
+| 0.1745        | 1.03  | 800  | 0.1659          | 4.4995 |
+| 0.147         | 1.16  | 900  | 0.1662          | 4.6758 |
+| 0.1737        | 1.29  | 1000 | 0.1644          | 5.0282 |
+| 0.1639        | 1.42  | 1100 | 0.1637          | 4.8285 |
+| 0.1497        | 1.55  | 1200 | 0.1603          | 4.6640 |
+| 0.1756        | 1.68  | 1300 | 0.1599          | 4.5818 |
+| 0.1586        | 1.81  | 1400 | 0.1593          | 4.4525 |
+| 0.141         | 1.93  | 1500 | 0.1587          | 4.5054 |
+
+
+### 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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