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W2V2-BERT-Malayalam

Automatic Speech Recognition
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Safetensors
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/Jun07_09-51-55_kudsit-dgxserver/events.out.tfevents.1717735015.kudsit-dgxserver.2838276.0 +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: 0.1624
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- - Wer: 0.1242
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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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- | 1.1627 | 0.46 | 600 | 0.3628 | 0.4690 |
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- | 0.1739 | 0.92 | 1200 | 0.2809 | 0.3429 |
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- | 0.1254 | 1.38 | 1800 | 0.1997 | 0.2876 |
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- | 0.1083 | 1.84 | 2400 | 0.2066 | 0.2735 |
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- | 0.0917 | 2.3 | 3000 | 0.1918 | 0.2600 |
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- | 0.0778 | 2.76 | 3600 | 0.1739 | 0.2346 |
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- | 0.0685 | 3.22 | 4200 | 0.1629 | 0.2210 |
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- | 0.058 | 3.68 | 4800 | 0.1641 | 0.1983 |
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- | 0.053 | 4.14 | 5400 | 0.1557 | 0.1841 |
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- | 0.0417 | 4.6 | 6000 | 0.1464 | 0.1928 |
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- | 0.0385 | 5.06 | 6600 | 0.1448 | 0.1610 |
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- | 0.0303 | 5.52 | 7200 | 0.1591 | 0.1510 |
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- | 0.0303 | 5.98 | 7800 | 0.1352 | 0.1510 |
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- | 0.0212 | 6.44 | 8400 | 0.1376 | 0.1473 |
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- | 0.0208 | 6.9 | 9000 | 0.1335 | 0.1314 |
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- | 0.0153 | 7.36 | 9600 | 0.1455 | 0.1411 |
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- | 0.0134 | 7.82 | 10200 | 0.1414 | 0.1403 |
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- | 0.0109 | 8.28 | 10800 | 0.1440 | 0.1361 |
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- | 0.008 | 8.74 | 11400 | 0.1499 | 0.1286 |
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- | 0.006 | 9.2 | 12000 | 0.1597 | 0.1212 |
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- | 0.0039 | 9.66 | 12600 | 0.1624 | 0.1242 |
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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: 0.1722
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+ - Wer: 0.1299
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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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+ | 1.1416 | 0.46 | 600 | 0.3393 | 0.4616 |
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+ | 0.1734 | 0.92 | 1200 | 0.2414 | 0.3493 |
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+ | 0.1254 | 1.38 | 1800 | 0.2205 | 0.2963 |
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+ | 0.1097 | 1.84 | 2400 | 0.2157 | 0.3133 |
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+ | 0.0923 | 2.3 | 3000 | 0.1854 | 0.2473 |
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+ | 0.0792 | 2.76 | 3600 | 0.1939 | 0.2471 |
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+ | 0.0696 | 3.22 | 4200 | 0.1720 | 0.2282 |
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+ | 0.0589 | 3.68 | 4800 | 0.1768 | 0.2013 |
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+ | 0.0552 | 4.14 | 5400 | 0.1635 | 0.1864 |
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+ | 0.0437 | 4.6 | 6000 | 0.1501 | 0.1826 |
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+ | 0.0408 | 5.06 | 6600 | 0.1500 | 0.1645 |
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+ | 0.0314 | 5.52 | 7200 | 0.1559 | 0.1655 |
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+ | 0.0317 | 5.98 | 7800 | 0.1448 | 0.1553 |
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+ | 0.022 | 6.44 | 8400 | 0.1592 | 0.1590 |
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+ | 0.0218 | 6.9 | 9000 | 0.1431 | 0.1458 |
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+ | 0.0154 | 7.36 | 9600 | 0.1514 | 0.1366 |
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+ | 0.0141 | 7.82 | 10200 | 0.1540 | 0.1383 |
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+ | 0.0113 | 8.28 | 10800 | 0.1558 | 0.1391 |
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+ | 0.0085 | 8.74 | 11400 | 0.1612 | 0.1356 |
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+ | 0.0072 | 9.2 | 12000 | 0.1697 | 0.1289 |
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+ | 0.0046 | 9.66 | 12600 | 0.1722 | 0.1299 |
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  ### Framework versions
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