MachineTrofimov
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End of training
Browse files- README.md +15 -15
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README.md
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language:
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- ru
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license: apache-2.0
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tags:
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- generated_from_trainer
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base_model: openai/whisper-tiny
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datasets:
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- bond005/podlodka_speech
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metrics:
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- name: whisper-tiny-ru
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results:
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- task:
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type: automatic-speech-recognition
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name: Automatic Speech Recognition
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dataset:
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name: Podlodka Speech
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type: bond005/podlodka_speech
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args: 'config: ru, split: test'
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metrics:
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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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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Podlodka Speech dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Wer:
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## Model description
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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:
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- training_steps: 200
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer
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### Framework versions
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language:
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- ru
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license: apache-2.0
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base_model: openai/whisper-tiny
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tags:
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- generated_from_trainer
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datasets:
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- bond005/podlodka_speech
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metrics:
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- name: whisper-tiny-ru
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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: Podlodka Speech
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type: bond005/podlodka_speech
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args: 'config: ru, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 83.72703412073491
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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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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Podlodka Speech dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2475
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- Wer: 83.7270
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## Model description
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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: 40
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- training_steps: 200
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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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| 0.9999 | 4.4444 | 40 | 1.2054 | 71.8285 |
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| 0.4535 | 8.8889 | 80 | 1.1539 | 73.2283 |
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| 0.2849 | 13.3333 | 120 | 1.1958 | 104.5494 |
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| 0.1674 | 17.7778 | 160 | 1.2341 | 79.2651 |
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| 0.1372 | 22.2222 | 200 | 1.2475 | 83.7270 |
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### Framework versions
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model.safetensors
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