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W2V2-BERT-Malayalam

Automatic Speech Recognition
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wav2vec2-bert
Generated from Trainer
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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/May23_09-36-51_kudsit-dgxserver/events.out.tfevents.1716437981.kudsit-dgxserver.1620403.0 +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: 0.1771
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- - Wer: 0.1179
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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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- | 1.1594 | 0.46 | 600 | 0.3721 | 0.4705 |
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- | 0.1751 | 0.92 | 1200 | 0.2652 | 0.3615 |
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- | 0.1269 | 1.38 | 1800 | 0.2069 | 0.2824 |
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- | 0.1113 | 1.84 | 2400 | 0.1867 | 0.2535 |
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- | 0.0904 | 2.3 | 3000 | 0.1907 | 0.2555 |
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- | 0.0783 | 2.76 | 3600 | 0.1740 | 0.2421 |
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- | 0.0691 | 3.22 | 4200 | 0.1860 | 0.2366 |
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- | 0.0588 | 3.68 | 4800 | 0.1696 | 0.2195 |
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- | 0.0541 | 4.14 | 5400 | 0.1560 | 0.1859 |
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- | 0.0421 | 4.6 | 6000 | 0.1812 | 0.1757 |
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- | 0.0385 | 5.06 | 6600 | 0.1643 | 0.1677 |
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- | 0.0305 | 5.52 | 7200 | 0.1457 | 0.1553 |
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- | 0.0309 | 5.98 | 7800 | 0.1494 | 0.1558 |
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- | 0.0214 | 6.44 | 8400 | 0.1516 | 0.1428 |
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- | 0.0216 | 6.9 | 9000 | 0.1409 | 0.1408 |
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- | 0.0146 | 7.36 | 9600 | 0.1524 | 0.1359 |
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- | 0.0133 | 7.82 | 10200 | 0.1494 | 0.1294 |
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- | 0.0103 | 8.28 | 10800 | 0.1600 | 0.1321 |
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- | 0.0079 | 8.74 | 11400 | 0.1658 | 0.1224 |
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- | 0.0065 | 9.2 | 12000 | 0.1644 | 0.1227 |
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- | 0.0043 | 9.66 | 12600 | 0.1771 | 0.1179 |
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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: []
 
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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: 0.1642
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+ - Wer: 0.1271
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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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+ | 1.0788 | 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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