Final fine-tuned openai/whisper-medium (merged LoRA)

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-medium-jp
+  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-medium-jp
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4828
+- Wer: 0.2254
+- Cer: 0.2254
+
+## 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: 4e-06
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- total_eval_batch_size: 4
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 400
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
+| 0.5341        | 1.0   | 7155  | 0.5321          | 0.2416 | 0.2416 |
+| 0.5023        | 2.0   | 14310 | 0.5143          | 0.2369 | 0.2369 |
+| 0.499         | 3.0   | 21465 | 0.5063          | 0.2337 | 0.2337 |
+| 0.4773        | 4.0   | 28620 | 0.5010          | 0.2310 | 0.2310 |
+| 0.4775        | 5.0   | 35775 | 0.4944          | 0.2289 | 0.2289 |
+| 0.4709        | 6.0   | 42930 | 0.4886          | 0.2288 | 0.2288 |
+| 0.4907        | 7.0   | 50085 | 0.4870          | 0.2271 | 0.2271 |
+| 0.4855        | 8.0   | 57240 | 0.4868          | 0.2261 | 0.2261 |
+| 0.4487        | 9.0   | 64395 | 0.4828          | 0.2254 | 0.2254 |
+
+
+### Framework versions
+
+- Transformers 4.56.1
+- Pytorch 2.8.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.22.0

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config.json

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+}

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