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w2v-bert-2.0-malayalam_mixeddataset_thre

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  1. README.md +24 -24
  2. model.safetensors +1 -1
  3. runs/May06_10-12-05_kudsit-dgxserver/events.out.tfevents.1714971283.kudsit-dgxserver.3772578.0 +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-malayalam_mixeddataset_thre
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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: 0.1707
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- - Wer: 0.1157
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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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- | 1.0465 | 0.47 | 600 | 0.3707 | 0.4561 |
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- | 0.167 | 0.95 | 1200 | 0.2639 | 0.3710 |
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- | 0.1209 | 1.42 | 1800 | 0.2276 | 0.3143 |
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- | 0.1028 | 1.9 | 2400 | 0.2139 | 0.2657 |
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- | 0.0831 | 2.37 | 3000 | 0.2015 | 0.2553 |
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- | 0.0746 | 2.85 | 3600 | 0.1729 | 0.2374 |
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- | 0.0626 | 3.32 | 4200 | 0.1501 | 0.2192 |
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- | 0.0547 | 3.8 | 4800 | 0.1824 | 0.2217 |
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- | 0.0448 | 4.27 | 5400 | 0.1571 | 0.1747 |
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- | 0.0383 | 4.74 | 6000 | 0.1438 | 0.1662 |
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- | 0.0353 | 5.22 | 6600 | 0.1476 | 0.1657 |
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- | 0.029 | 5.69 | 7200 | 0.1543 | 0.1655 |
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- | 0.025 | 6.17 | 7800 | 0.1620 | 0.1553 |
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- | 0.02 | 6.64 | 8400 | 0.1481 | 0.1468 |
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- | 0.0167 | 7.12 | 9000 | 0.1501 | 0.1376 |
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- | 0.0126 | 7.59 | 9600 | 0.1469 | 0.1341 |
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- | 0.0122 | 8.07 | 10200 | 0.1565 | 0.1291 |
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- | 0.0079 | 8.54 | 10800 | 0.1592 | 0.1242 |
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- | 0.0073 | 9.02 | 11400 | 0.1594 | 0.1237 |
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- | 0.0039 | 9.49 | 12000 | 0.1710 | 0.1204 |
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- | 0.0039 | 9.96 | 12600 | 0.1707 | 0.1157 |
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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-malayalam_mixeddataset_thre
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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.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1604
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+ - Wer: 0.1244
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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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+ | 1.1974 | 0.47 | 600 | 0.3732 | 0.4971 |
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+ | 0.1677 | 0.95 | 1200 | 0.2552 | 0.3411 |
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+ | 0.1229 | 1.42 | 1800 | 0.2184 | 0.3123 |
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+ | 0.1041 | 1.9 | 2400 | 0.2044 | 0.2921 |
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+ | 0.0825 | 2.37 | 3000 | 0.2150 | 0.2667 |
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+ | 0.0756 | 2.85 | 3600 | 0.1882 | 0.2361 |
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+ | 0.0627 | 3.32 | 4200 | 0.1735 | 0.2493 |
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+ | 0.0557 | 3.8 | 4800 | 0.1653 | 0.2117 |
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+ | 0.0454 | 4.27 | 5400 | 0.1669 | 0.1891 |
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+ | 0.0394 | 4.74 | 6000 | 0.1610 | 0.1903 |
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+ | 0.0363 | 5.22 | 6600 | 0.1654 | 0.1699 |
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+ | 0.0278 | 5.69 | 7200 | 0.1465 | 0.1640 |
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+ | 0.025 | 6.17 | 7800 | 0.1503 | 0.1617 |
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+ | 0.0198 | 6.64 | 8400 | 0.1429 | 0.1466 |
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+ | 0.0174 | 7.12 | 9000 | 0.1440 | 0.1453 |
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+ | 0.013 | 7.59 | 9600 | 0.1496 | 0.1433 |
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+ | 0.0125 | 8.07 | 10200 | 0.1465 | 0.1274 |
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+ | 0.0076 | 8.54 | 10800 | 0.1479 | 0.1349 |
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+ | 0.0076 | 9.02 | 11400 | 0.1521 | 0.1229 |
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+ | 0.0041 | 9.49 | 12000 | 0.1600 | 0.1291 |
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+ | 0.0038 | 9.96 | 12600 | 0.1604 | 0.1244 |
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  ### Framework versions
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