End of training
Browse files
README.md
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---
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library_name: transformers
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language:
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- mr
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base_model: simran14/mr-val-f
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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_17_0
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metrics:
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- wer
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model-index:
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- name: simrank14 Whisper small valG
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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: Common Voice 17.0
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type: mozilla-foundation/common_voice_17_0
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config: mr
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split: test
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args: mr
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metrics:
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- name: Wer
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type: wer
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value: 0.09443574641516936
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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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# simrank14 Whisper small valG
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This model is a fine-tuned version of [simran14/mr-val-f](https://huggingface.co/simran14/mr-val-f) on the Common Voice 17.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0009
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- Wer: 0.0944
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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: 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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- 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: 100
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- num_epochs: 2
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:------:|:----:|:---------------:|:------:|
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| 0.001 | 0.6098 | 1000 | 0.0020 | 0.1814 |
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| 0.0006 | 1.2195 | 2000 | 0.0011 | 0.1069 |
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| 0.0009 | 1.8293 | 3000 | 0.0009 | 0.0944 |
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### Framework versions
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- Transformers 4.45.0.dev0
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.1.dev0
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- Tokenizers 0.19.1
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generation_config.json
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}
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model.safetensors
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runs/Aug30_06-27-47_14c2ed0500df/events.out.tfevents.1724999280.14c2ed0500df.1161.0
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