End of training

README.md

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+---
+library_name: transformers
+language:
+- ko
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- didiudom94/gentlemen
+metrics:
+- wer
+model-index:
+- name: Whisper Small-V2 Ko to En
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Gentlemen
+      type: didiudom94/gentlemen
+      args: 'split: train'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.8733030859529726
+---
+
+<!-- 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-V2 Ko to En
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Gentlemen dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3724
+- Wer: 0.8733
+
+## 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: 5e-06
+- train_batch_size: 8
+- 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: 400
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 1.4028        | 0.2253 | 1000 | 1.5128          | 1.0477 |
+| 1.4054        | 0.4507 | 2000 | 1.4252          | 0.9156 |
+| 1.3733        | 0.6760 | 3000 | 1.3890          | 0.9197 |
+| 1.4428        | 0.9013 | 4000 | 1.3724          | 0.8733 |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.20.3

runs/Jan18_14-55-45_3df55a692dc1/events.out.tfevents.1737219885.3df55a692dc1.2615.4

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