UmarRamzan commited on
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End of training

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README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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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:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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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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@@ -46,24 +46,18 @@ The following hyperparameters were used during training:
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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: 2
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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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- | 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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  ---
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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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