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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: openai/whisper-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: whisper-id-jv-multilingual
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # whisper-id-jv-multilingual
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+
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+ This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4037
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+ - Wer: 75.5167
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - training_steps: 4000
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|
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+ | 0.6758 | 0.8418 | 500 | 0.6661 | 73.2909 |
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+ | 0.3777 | 1.6835 | 1000 | 0.4950 | 56.4123 |
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+ | 0.2271 | 2.5253 | 1500 | 0.4440 | 56.2798 |
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+ | 0.1269 | 3.3670 | 2000 | 0.4188 | 60.1749 |
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+ | 0.0739 | 4.2088 | 2500 | 0.4087 | 73.1849 |
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+ | 0.0589 | 5.0505 | 3000 | 0.4039 | 71.8866 |
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+ | 0.0473 | 5.8923 | 3500 | 0.4022 | 80.4716 |
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+ | 0.0353 | 6.7340 | 4000 | 0.4037 | 75.5167 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.57.2
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+ - Pytorch 2.9.0+cu126
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.1
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