End of training
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- pytorch_model.bin +1 -1
README.md
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metrics:
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- name: Wer
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type: wer
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value: 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/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) 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: 1.
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- Wer: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size:
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size:
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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: 500
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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### Framework versions
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metrics:
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- name: Wer
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type: wer
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value: 0.4936988936988937
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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/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) 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: 1.2211
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- Wer: 0.4937
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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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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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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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: 500
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 5.3288 | 1.34 | 400 | 1.7076 | 0.9809 |
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| 1.2014 | 2.69 | 800 | 1.0803 | 0.7733 |
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| 0.7687 | 4.03 | 1200 | 0.9806 | 0.6642 |
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| 0.5539 | 5.38 | 1600 | 0.9914 | 0.6301 |
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| 0.4456 | 6.72 | 2000 | 0.9797 | 0.6265 |
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| 0.3586 | 8.07 | 2400 | 1.0354 | 0.5803 |
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| 0.2922 | 9.41 | 2800 | 0.9996 | 0.5821 |
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| 0.2628 | 10.76 | 3200 | 1.0250 | 0.5708 |
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| 0.2284 | 12.1 | 3600 | 1.0865 | 0.5722 |
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| 0.1908 | 13.45 | 4000 | 1.0674 | 0.5450 |
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| 0.1732 | 14.79 | 4400 | 1.1775 | 0.5614 |
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| 0.153 | 16.13 | 4800 | 1.1542 | 0.5435 |
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| 0.14 | 17.48 | 5200 | 1.1807 | 0.5449 |
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| 0.1302 | 18.82 | 5600 | 1.1679 | 0.5376 |
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| 0.1142 | 20.17 | 6000 | 1.1441 | 0.5276 |
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| 0.104 | 21.51 | 6400 | 1.2243 | 0.5355 |
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| 0.0882 | 22.86 | 6800 | 1.1837 | 0.5316 |
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| 0.0807 | 24.2 | 7200 | 1.1986 | 0.5132 |
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| 0.0744 | 25.55 | 7600 | 1.2182 | 0.5108 |
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| 0.0646 | 26.89 | 8000 | 1.2116 | 0.5047 |
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| 0.0551 | 28.24 | 8400 | 1.2009 | 0.4948 |
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| 0.0503 | 29.58 | 8800 | 1.2211 | 0.4937 |
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### Framework versions
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pytorch_model.bin
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