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rinabuoy/whisper-small-khmer-aug-v6

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  1. README.md +72 -0
  2. generation_config.json +256 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: openai/whisper-small
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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-khmer-aug-v6
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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-khmer-aug-v6
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+
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2209
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+ - Wer: 60.8400
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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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+ | 0.5473 | 0.9994 | 837 | 0.2368 | 79.1309 |
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+ | 0.2005 | 2.0 | 1675 | 0.1907 | 69.7422 |
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+ | 0.1505 | 2.9994 | 2512 | 0.1775 | 65.4289 |
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+ | 0.1221 | 4.0 | 3350 | 0.1839 | 65.3802 |
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+ | 0.1013 | 4.9994 | 4187 | 0.1888 | 64.1641 |
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+ | 0.0851 | 6.0 | 5025 | 0.1921 | 62.8507 |
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+ | 0.0725 | 6.9994 | 5862 | 0.1960 | 61.9588 |
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+ | 0.0618 | 8.0 | 6700 | 0.2103 | 62.6074 |
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+ | 0.053 | 8.9994 | 7537 | 0.2161 | 61.3426 |
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+ | 0.0474 | 9.9940 | 8370 | 0.2209 | 60.8400 |
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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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