shangrilar
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whisper-small-ko-med
Browse files
README.md
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---
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base_model: shangrilar/techvillage_korean
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tags:
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- generated_from_trainer
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datasets:
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- audiofolder
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model-index:
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- name: whisper-small-ko-med
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results: []
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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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# whisper-small-ko-med
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This model is a fine-tuned version of [shangrilar/techvillage_korean](https://huggingface.co/shangrilar/techvillage_korean) on the audiofolder dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 32
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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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- num_epochs: 4
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.17.0
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- Tokenizers 0.15.1
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preprocessor_config.json
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{
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"chunk_length": 30,
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"feature_extractor_type": "WhisperFeatureExtractor",
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"feature_size": 80,
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"hop_length": 160,
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"n_fft": 400,
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"n_samples": 480000,
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"nb_max_frames": 3000,
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"padding_side": "right",
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"padding_value": 0.0,
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"processor_class": "WhisperProcessor",
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"return_attention_mask": false,
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"sampling_rate": 16000
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}
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runs/Feb12_01-33-40_282861058b7f/events.out.tfevents.1707701621.282861058b7f.6230.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0e21d908e0b317e2e6aeebb43a9f6cca104a6a0f582c177659f5725a4b18f27
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size 6515
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:499318de2a028482b68f0afd2f63c78169eaaf3e850bcc0a738609247c3d840a
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size 4728
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