nicekevin commited on
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End of training

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README.md ADDED
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+ ---
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+ language:
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+ - ko
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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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+ - hf-asr-leaderboard
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+ - generated_from_trainer
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+ datasets:
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+ - nicekevin/lgevr_sentence_v2_tmp
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+ model-index:
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+ - name: nicekevin/whisper_bs_ft_lgevr2_v3_2
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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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+ # nicekevin/whisper_bs_ft_lgevr2_v3_2
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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 lgevr_sentence_v2 dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.4283
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+ - eval_cer: 12.9976
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+ - eval_runtime: 10.4189
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+ - eval_samples_per_second: 3.743
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+ - eval_steps_per_second: 0.48
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+ - epoch: 25.0
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+ - step: 500
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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: 2e-06
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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: 2000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.0.dev0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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