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DistilFT-Frisian-10md

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Western Frisian
whisper
Generated from Trainer
Eval Results
Inference Endpoints
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  1. README.md +81 -0
  2. generation_config.json +190 -0
  3. model.safetensors +1 -1
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+ ---
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+ language:
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+ - fy
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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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+ - mozilla-foundation/common_voice_6_1
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: DistilFT-Frisian-10m
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: mozilla-foundation/common_voice_6_fy_NL
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+ type: mozilla-foundation/common_voice_6_1
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+ args: 'config: fy-NL, split: train-10m'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 89.3637497772233
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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-Frisian-10m
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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 mozilla-foundation/common_voice_6_fy_NL dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.1946
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+ - Wer: 89.3637
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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: 8
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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: 200
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+ - training_steps: 3000
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+ - mixed_precision_training: Native AMP
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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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+ | 0.1154 | 33.3333 | 500 | 3.7440 | 105.5534 |
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+ | 0.0107 | 66.6667 | 1000 | 4.0814 | 88.1911 |
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+ | 0.0 | 100.0 | 1500 | 4.1314 | 90.7432 |
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+ | 0.0 | 133.3333 | 2000 | 4.1700 | 89.8663 |
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+ | 0.0 | 166.6667 | 2500 | 4.1878 | 89.6061 |
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+ | 0.0 | 200.0 | 3000 | 4.1946 | 89.3637 |
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+
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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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