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rinabuoy/whisper-base-khmer-aug

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  1. README.md +72 -0
  2. generation_config.json +248 -0
README.md ADDED
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+ ---
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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-base-khmer-aug
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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-base-khmer-aug
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2816
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+ - Wer: 67.1639
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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: 0.0001
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 32
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: constant
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+ - lr_scheduler_warmup_steps: 1000
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+ - num_epochs: 10
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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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+ | 1.0104 | 1.0 | 670 | 0.4883 | 90.8059 |
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+ | 0.5473 | 2.0 | 1340 | 0.3166 | 92.7680 |
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+ | 0.4257 | 3.0 | 2010 | 0.2780 | 78.1904 |
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+ | 0.364 | 4.0 | 2680 | 0.2614 | 78.2552 |
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+ | 0.3197 | 5.0 | 3350 | 0.2493 | 71.9150 |
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+ | 0.2863 | 6.0 | 4020 | 0.2539 | 73.3420 |
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+ | 0.2574 | 7.0 | 4690 | 0.2557 | 69.5962 |
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+ | 0.2358 | 8.0 | 5360 | 0.2655 | 69.6935 |
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+ | 0.2154 | 9.0 | 6030 | 0.2662 | 68.7693 |
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+ | 0.1956 | 10.0 | 6700 | 0.2816 | 67.1639 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.0
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+ - Pytorch 2.3.1
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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