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W2V2-BERT-Malayalam

Automatic Speech Recognition
Transformers
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Safetensors
wav2vec2-bert
Generated from Trainer
Eval Results
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Bajiyo commited on
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End of training

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Files changed (3) hide show
  1. README.md +24 -24
  2. model.safetensors +1 -1
  3. runs/May24_09-57-08_kudsit-dgxserver/events.out.tfevents.1716525607.kudsit-dgxserver.2365788.0 +2 -2
README.md CHANGED
@@ -1,10 +1,10 @@
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  ---
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  license: mit
 
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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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- base_model: facebook/w2v-bert-2.0
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  model-index:
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  - name: w2v-bert-2.0-nonstudio_and_studioRecords
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  results: []
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.1642
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- - Wer: 0.1271
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  ## Model description
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@@ -53,27 +53,27 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|
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- | 1.0788 | 0.46 | 600 | 0.3546 | 0.4640 |
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- | 0.1732 | 0.92 | 1200 | 0.2307 | 0.3431 |
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- | 0.1247 | 1.38 | 1800 | 0.2097 | 0.2916 |
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- | 0.1092 | 1.84 | 2400 | 0.2121 | 0.2742 |
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- | 0.0896 | 2.3 | 3000 | 0.1817 | 0.2565 |
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- | 0.0776 | 2.76 | 3600 | 0.1715 | 0.2249 |
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- | 0.0695 | 3.22 | 4200 | 0.1684 | 0.2142 |
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- | 0.0581 | 3.68 | 4800 | 0.1667 | 0.2050 |
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- | 0.0521 | 4.14 | 5400 | 0.1629 | 0.1876 |
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- | 0.0426 | 4.6 | 6000 | 0.1553 | 0.1819 |
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- | 0.0389 | 5.06 | 6600 | 0.1485 | 0.1692 |
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- | 0.03 | 5.52 | 7200 | 0.1388 | 0.1667 |
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- | 0.03 | 5.98 | 7800 | 0.1441 | 0.1607 |
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- | 0.0208 | 6.44 | 8400 | 0.1444 | 0.1520 |
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- | 0.0209 | 6.9 | 9000 | 0.1339 | 0.1498 |
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- | 0.0145 | 7.36 | 9600 | 0.1418 | 0.1403 |
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- | 0.013 | 7.82 | 10200 | 0.1387 | 0.1351 |
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- | 0.0103 | 8.28 | 10800 | 0.1504 | 0.1321 |
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- | 0.0079 | 8.74 | 11400 | 0.1593 | 0.1331 |
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- | 0.0066 | 9.2 | 12000 | 0.1551 | 0.1222 |
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- | 0.004 | 9.66 | 12600 | 0.1642 | 0.1271 |
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  ### Framework versions
 
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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:
5
  - generated_from_trainer
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  metrics:
7
  - wer
 
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  model-index:
9
  - name: w2v-bert-2.0-nonstudio_and_studioRecords
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  results: []
 
17
 
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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.
19
  It achieves the following results on the evaluation set:
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+ - Loss: 0.1679
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+ - Wer: 0.1214
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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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+ | 1.1162 | 0.46 | 600 | 0.4548 | 0.5036 |
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+ | 0.1745 | 0.92 | 1200 | 0.2634 | 0.3735 |
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+ | 0.1268 | 1.38 | 1800 | 0.2148 | 0.2951 |
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+ | 0.1106 | 1.84 | 2400 | 0.2106 | 0.2677 |
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+ | 0.0917 | 2.3 | 3000 | 0.1963 | 0.2466 |
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+ | 0.0794 | 2.76 | 3600 | 0.1789 | 0.2441 |
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+ | 0.0688 | 3.22 | 4200 | 0.1911 | 0.2371 |
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+ | 0.0586 | 3.68 | 4800 | 0.1774 | 0.2013 |
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+ | 0.0534 | 4.14 | 5400 | 0.1567 | 0.1876 |
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+ | 0.0417 | 4.6 | 6000 | 0.1733 | 0.1804 |
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+ | 0.0396 | 5.06 | 6600 | 0.1537 | 0.1595 |
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+ | 0.0302 | 5.52 | 7200 | 0.1559 | 0.1545 |
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+ | 0.03 | 5.98 | 7800 | 0.1482 | 0.1560 |
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+ | 0.0214 | 6.44 | 8400 | 0.1554 | 0.1622 |
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+ | 0.0209 | 6.9 | 9000 | 0.1464 | 0.1433 |
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+ | 0.015 | 7.36 | 9600 | 0.1626 | 0.1386 |
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+ | 0.0129 | 7.82 | 10200 | 0.1601 | 0.1331 |
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+ | 0.0105 | 8.28 | 10800 | 0.1651 | 0.1373 |
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+ | 0.0078 | 8.74 | 11400 | 0.1600 | 0.1237 |
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+ | 0.0061 | 9.2 | 12000 | 0.1694 | 0.1269 |
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+ | 0.004 | 9.66 | 12600 | 0.1679 | 0.1214 |
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  ### Framework versions
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