First model version
Browse files- README.md +8 -8
- config.json +1 -1
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model:
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tags:
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- generated_from_trainer
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datasets:
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metrics:
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- name: Wer
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type: wer
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value: 1.
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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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# wav2vec2-xls-r-300m-ja-phoneme-cv_13_test
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss:
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- Wer: 1.
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## Model description
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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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---
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license: apache-2.0
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base_model: pinot/wav2vec2-xls-r-300m-ja-phoneme_cv_14_4
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tags:
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- generated_from_trainer
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datasets:
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metrics:
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- name: Wer
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type: wer
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value: 1.0452119589468987
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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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# wav2vec2-xls-r-300m-ja-phoneme-cv_13_test
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This model is a fine-tuned version of [pinot/wav2vec2-xls-r-300m-ja-phoneme_cv_14_4](https://huggingface.co/pinot/wav2vec2-xls-r-300m-ja-phoneme_cv_14_4) on the common_voice_13_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.3902
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- Wer: 1.0452
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## Model description
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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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| 3.4481 | 3.22 | 500 | 3.3902 | 1.0452 |
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### Framework versions
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config.json
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{
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"_name_or_path": "
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"activation_dropout": 0.0,
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"adapter_attn_dim": null,
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"adapter_kernel_size": 3,
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{
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"_name_or_path": "pinot/wav2vec2-xls-r-300m-ja-phoneme_cv_14_4",
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"activation_dropout": 0.0,
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"adapter_attn_dim": null,
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"adapter_kernel_size": 3,
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pytorch_model.bin
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training_args.bin
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