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DistilFT-English-1ha

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
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Files changed (4) hide show
  1. README.md +63 -0
  2. generation_config.json +190 -0
  3. model.safetensors +1 -1
  4. runs/Jun02_16-51-53_a100gpu5/events.out.tfevents.1717339918.a100gpu5.2964314.1 +2 -2
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+ ---
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+ language:
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+ - en
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+ base_model: distil-small.en
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - librispeech_asr
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+ model-index:
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+ - name: DistilFT-English-1h
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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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+ # DistilFT-English-1h
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+
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+ This model is a fine-tuned version of [distil-small.en](https://huggingface.co/distil-small.en) on the librispeech dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.2630
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+ - eval_wer: 4.4661
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+ - eval_runtime: 443.0803
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+ - eval_samples_per_second: 5.516
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+ - eval_steps_per_second: 0.691
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+ - epoch: 51.2821
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+ - step: 1000
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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: 5e-07
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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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: 300
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+ - training_steps: 1000
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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 4.41.0.dev0
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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