Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_16_1
+metrics:
+- wer
+model-index:
+- name: output1
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_16_1
+      type: common_voice_16_1
+      config: ko
+      split: test
+      args: ko
+    metrics:
+    - name: Wer
+      type: wer
+      value: 140.13953488372093
+---
+
+<!-- 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. -->
+
+# output1
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_16_1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0385
+- Wer: 140.1395
+
+## 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: 16
+- 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: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0034        | 25.0  | 1000 | 0.9055          | 100.2326 |
+| 0.001         | 50.0  | 2000 | 0.9852          | 113.7674 |
+| 0.0005        | 75.0  | 3000 | 1.0243          | 139.9070 |
+| 0.0004        | 100.0 | 4000 | 1.0385          | 140.1395 |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.1+cpu
+- Datasets 3.0.0
+- Tokenizers 0.19.1

generation_config.json

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+  "forced_decoder_ids": [
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+  "transformers_version": "4.45.0.dev0"
+}

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