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End of training

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  1. README.md +66 -0
  2. generation_config.json +256 -0
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: anggiatm/whisper-small-id
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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-small-id-finetune
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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-small-id-finetune
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+
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+ This model is a fine-tuned version of [anggiatm/whisper-small-id](https://huggingface.co/anggiatm/whisper-small-id) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3005
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+ - Wer: 11.5360
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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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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+ - mixed_precision_training: Native AMP
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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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+ | 0.1221 | 2.0492 | 1000 | 0.2983 | 13.5966 |
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+ | 0.0185 | 4.0984 | 2000 | 0.2870 | 12.4191 |
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+ | 0.0068 | 6.1475 | 3000 | 0.2954 | 12.1539 |
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+ | 0.0026 | 8.1967 | 4000 | 0.3005 | 11.5360 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.0
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+ - Tokenizers 0.19.1
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