End of training
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- adapter.tam-128.safetensors +3 -0
- model.safetensors +1 -1
README.md
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---
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base_model: facebook/mms-1b-all
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datasets:
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- common_voice_17_0
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library_name: transformers
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license: cc-by-nc-4.0
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metrics:
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- wer
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- bleu
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tags:
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- generated_from_trainer
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model-index:
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- name: wav2vec2-mms-1b-CV17.0-training_set_variations
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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: common_voice_17_0
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type: common_voice_17_0
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split: validation[:5%]+validation[20%:25%]+validation[60%:65%]+validation[90%:]
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args: ta
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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 [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) 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:
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- Wer:
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- Cer: 0.
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- Bleu: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Bleu
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### Framework versions
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---
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library_name: transformers
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license: cc-by-nc-4.0
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base_model: facebook/mms-1b-all
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_17_0
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metrics:
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- wer
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- bleu
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model-index:
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- name: wav2vec2-mms-1b-CV17.0-training_set_variations
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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: common_voice_17_0
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split: validation[:5%]+validation[20%:25%]+validation[60%:65%]+validation[90%:]
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args: ta
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metrics:
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- name: Wer
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type: wer
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value: 1.0594668189204621
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- name: Bleu
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type: bleu
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value: 0.0
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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 [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) 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: 8.6744
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- Wer: 1.0595
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- Cer: 0.7507
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- Bleu: 0.0
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Bleu |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:----:|
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| 8.9593 | 25.0 | 100 | 4.6860 | 1.0 | 0.9446 | 0.0 |
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| 3.3283 | 50.0 | 200 | 5.0896 | 1.0199 | 0.8069 | 0.0 |
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| 2.6345 | 75.0 | 300 | 6.0989 | 1.0176 | 0.7693 | 0.0 |
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| 1.963 | 100.0 | 400 | 6.7363 | 1.0451 | 0.7518 | 0.0 |
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| 1.3091 | 125.0 | 500 | 7.8085 | 1.0284 | 0.7587 | 0.0 |
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| 0.912 | 150.0 | 600 | 8.6744 | 1.0595 | 0.7507 | 0.0 |
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### Framework versions
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adapter.tam-128.safetensors
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size 8926640
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model.safetensors
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