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Browse files- README.md +64 -0
- generation_config.json +148 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: openai/whisper-tiny.en
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: veract-11-biov3.en
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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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# veract-11-biov3.en
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This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2197
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- Wer: 33.3333
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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: 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: 13
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- training_steps: 100
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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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| 1.3918 | 25.0 | 25 | 0.4022 | 33.3333 |
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| 0.3142 | 50.0 | 50 | 0.2668 | 33.3333 |
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| 0.2472 | 75.0 | 75 | 0.2310 | 33.3333 |
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| 0.2238 | 100.0 | 100 | 0.2197 | 33.3333 |
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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 2.15.0
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- Tokenizers 0.15.0
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generation_config.json
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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version https://git-lfs.github.com/spec/v1
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