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Shehryar718
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URDU-ASR-25-EPOCH

Automatic Speech Recognition
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wav2vec2
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End of training

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Files changed (3) hide show
  1. README.md +30 -30
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 0.47599520290920344
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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
@@ -31,9 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Shehryar718/URDU-ASR](https://huggingface.co/Shehryar718/URDU-ASR) 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: 0.6782
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- - Wer: 0.4760
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- - Cer: 0.1986
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  ## Model description
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@@ -52,7 +52,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 7.5e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -68,31 +68,31 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | 5.3707 | 1.0 | 341 | 1.3583 | 0.8266 | 0.3484 |
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- | 0.4814 | 2.0 | 683 | 0.7213 | 0.5187 | 0.2196 |
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- | 0.2821 | 3.0 | 1024 | 0.6354 | 0.4917 | 0.2066 |
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- | 0.2368 | 4.0 | 1366 | 0.6730 | 0.5122 | 0.2181 |
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- | 0.2105 | 5.0 | 1707 | 0.6430 | 0.4871 | 0.2076 |
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- | 0.1965 | 6.0 | 2049 | 0.6397 | 0.4902 | 0.2136 |
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- | 0.1879 | 7.0 | 2390 | 0.6397 | 0.4698 | 0.1951 |
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- | 0.1743 | 8.0 | 2732 | 0.6636 | 0.4739 | 0.1996 |
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- | 0.1632 | 9.0 | 3073 | 0.6752 | 0.4782 | 0.1996 |
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- | 0.1572 | 10.0 | 3415 | 0.6859 | 0.4874 | 0.2072 |
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- | 0.1586 | 11.0 | 3756 | 0.6761 | 0.4844 | 0.2069 |
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- | 0.1595 | 12.0 | 4098 | 0.6846 | 0.4746 | 0.1959 |
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- | 0.1534 | 13.0 | 4439 | 0.6750 | 0.4830 | 0.2034 |
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- | 0.16 | 14.0 | 4781 | 0.6653 | 0.4826 | 0.2038 |
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- | 0.1752 | 15.0 | 5122 | 0.6536 | 0.4727 | 0.1946 |
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- | 0.1739 | 16.0 | 5464 | 0.6753 | 0.4738 | 0.1912 |
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- | 0.1709 | 17.0 | 5805 | 0.6600 | 0.4730 | 0.1996 |
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- | 0.1676 | 18.0 | 6147 | 0.6691 | 0.4678 | 0.1919 |
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- | 0.1636 | 19.0 | 6488 | 0.6638 | 0.4772 | 0.1990 |
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- | 0.1593 | 20.0 | 6830 | 0.6787 | 0.4764 | 0.1976 |
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- | 0.1588 | 21.0 | 7171 | 0.6699 | 0.4772 | 0.1974 |
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- | 0.1525 | 22.0 | 7513 | 0.6827 | 0.4738 | 0.1962 |
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- | 0.1554 | 23.0 | 7854 | 0.6740 | 0.4736 | 0.1970 |
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- | 0.1522 | 24.0 | 8196 | 0.6791 | 0.4768 | 0.1989 |
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- | 0.1502 | 24.96 | 8525 | 0.6782 | 0.4760 | 0.1986 |
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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: 0.4924368447522148
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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 [Shehryar718/URDU-ASR](https://huggingface.co/Shehryar718/URDU-ASR) 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: 0.7833
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+ - Wer: 0.4924
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+ - Cer: 0.2059
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.00025
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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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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | 3.5981 | 1.0 | 341 | 0.7487 | 0.5453 | 0.2200 |
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+ | 0.2559 | 2.0 | 683 | 0.7159 | 0.5086 | 0.2077 |
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+ | 0.3018 | 3.0 | 1024 | 0.7059 | 0.5457 | 0.2325 |
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+ | 0.2848 | 4.0 | 1366 | 0.6575 | 0.5464 | 0.2350 |
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+ | 0.2599 | 5.0 | 1707 | 0.6924 | 0.5436 | 0.2346 |
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+ | 0.2479 | 6.0 | 2049 | 0.6785 | 0.5372 | 0.2254 |
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+ | 0.2363 | 7.0 | 2390 | 0.7261 | 0.5356 | 0.2284 |
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+ | 0.2225 | 8.0 | 2732 | 0.7228 | 0.5199 | 0.2268 |
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+ | 0.2038 | 9.0 | 3073 | 0.7688 | 0.5248 | 0.2218 |
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+ | 0.1944 | 10.0 | 3415 | 0.7385 | 0.5384 | 0.2298 |
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+ | 0.1908 | 11.0 | 3756 | 0.7569 | 0.5325 | 0.2283 |
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+ | 0.1899 | 12.0 | 4098 | 0.7458 | 0.5088 | 0.2106 |
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+ | 0.1728 | 13.0 | 4439 | 0.7386 | 0.5326 | 0.2236 |
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+ | 0.1762 | 14.0 | 4781 | 0.7521 | 0.5297 | 0.2265 |
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+ | 0.1762 | 15.0 | 5122 | 0.7338 | 0.5197 | 0.2184 |
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+ | 0.1666 | 16.0 | 5464 | 0.7795 | 0.5294 | 0.2149 |
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+ | 0.1605 | 17.0 | 5805 | 0.7622 | 0.5092 | 0.2211 |
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+ | 0.1539 | 18.0 | 6147 | 0.7756 | 0.5144 | 0.2132 |
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+ | 0.1472 | 19.0 | 6488 | 0.7522 | 0.4989 | 0.2094 |
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+ | 0.1399 | 20.0 | 6830 | 0.7691 | 0.5144 | 0.2171 |
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+ | 0.1341 | 21.0 | 7171 | 0.7673 | 0.4992 | 0.2079 |
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+ | 0.1278 | 22.0 | 7513 | 0.7807 | 0.4889 | 0.2005 |
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+ | 0.1235 | 23.0 | 7854 | 0.7924 | 0.4932 | 0.2060 |
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+ | 0.1189 | 24.0 | 8196 | 0.7876 | 0.4954 | 0.2060 |
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+ | 0.1167 | 24.96 | 8525 | 0.7833 | 0.4924 | 0.2059 |
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  ### Framework versions
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