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End of training
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README.md
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---
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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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model-index:
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- name: w2v2-bert-urdu
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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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config: ur
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split: test[:100]
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args: ur
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metrics:
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- type: wer
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value: 0.3300546448087432
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name: Wer
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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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# w2v2-bert-urdu
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This model
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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### Framework versions
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license: mit
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base_model: facebook/w2v-bert-2.0
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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: w2v2-bert-urdu
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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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# w2v2-bert-urdu
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This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6237
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- Wer: 0.4732
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:------:|:----:|:---------------:|:------:|
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| 7.3111 | 0.1695 | 50 | 4.0973 | 1.0 |
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| 3.6426 | 0.3390 | 100 | 3.0408 | 1.0 |
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| 2.7471 | 0.5085 | 150 | 2.0725 | 0.9836 |
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| 1.4561 | 0.6780 | 200 | 0.9029 | 0.5519 |
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| 0.85 | 0.8475 | 250 | 0.6233 | 0.4219 |
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| 0.6703 | 1.0169 | 300 | 0.5772 | 0.4590 |
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| 0.6025 | 1.1864 | 350 | 0.5479 | 0.4077 |
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| 0.633 | 1.3559 | 400 | 0.6068 | 0.4798 |
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| 0.6775 | 1.5254 | 450 | 0.6257 | 0.4787 |
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| 0.7196 | 1.6949 | 500 | 0.6241 | 0.4765 |
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| 0.6955 | 1.8644 | 550 | 0.6237 | 0.4732 |
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### Framework versions
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model.safetensors
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runs/May13_11-47-53_46d74bf08513/events.out.tfevents.1715601028.46d74bf08513.381.0
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