UmarRamzan
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End of training
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README.md
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---
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license: mit
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base_model:
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tags:
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- generated_from_trainer
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metrics:
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# w2v2-bert-urdu
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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: 0.
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- Wer: 0.
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## Model description
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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: 100
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- num_epochs:
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- mixed_precision_training: Native AMP
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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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| 0.6703 | 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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---
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license: mit
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base_model: UmarRamzan/w2v2-bert-urdu
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tags:
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- generated_from_trainer
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metrics:
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# w2v2-bert-urdu
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This model is a fine-tuned version of [UmarRamzan/w2v2-bert-urdu](https://huggingface.co/UmarRamzan/w2v2-bert-urdu) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4031
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- Wer: 0.3290
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## Model description
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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: 100
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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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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| 0.5845 | 0.1695 | 50 | 0.4870 | 0.3672 |
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| 0.5036 | 0.3390 | 100 | 0.4579 | 0.3628 |
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| 0.5009 | 0.5085 | 150 | 0.4376 | 0.3410 |
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| 0.4808 | 0.6780 | 200 | 0.4222 | 0.3301 |
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| 0.4333 | 0.8475 | 250 | 0.4031 | 0.3290 |
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### Framework versions
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runs/May13_12-54-01_46d74bf08513/events.out.tfevents.1715604999.46d74bf08513.381.1
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