End of training

README.md

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+---
+language:
+- ko
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: openai/whisper-large-v2
+datasets:
+- customd_ataset
+model-index:
+- name: Whisper large-v2 Korean - ML_project_custom_data_2epoch_with500
+  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 large-v2 Korean - ML_project_custom_data_2epoch_with500
+
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the customd_ataset dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6329
+- Cer: 135.4273
+
+## 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: 0.001
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 42
+- 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      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.2371        | 1.0   | 113  | 0.6409          | 112.3448 |
+| 0.1295        | 2.0   | 226  | 0.6329          | 135.4273 |
+
+
+### Framework versions
+
+- PEFT 0.11.2.dev0
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1