End of training
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README.md
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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: []
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@@ -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.
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- Wer: 0.
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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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| 0.0125 | 8.07 | 10200 | 0.
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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:
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- generated_from_trainer
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metrics:
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- wer
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|
|
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model-index:
|
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- name: w2v-bert-2.0-malayalam_mixeddataset_thre
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results: []
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|
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|
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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: 0.1202
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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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| 1.0443 | 0.47 | 600 | 0.3525 | 0.4596 |
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| 0.167 | 0.95 | 1200 | 0.2856 | 0.3824 |
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| 0.12 | 1.42 | 1800 | 0.2161 | 0.2978 |
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| 0.1027 | 1.9 | 2400 | 0.1963 | 0.2640 |
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| 0.0811 | 2.37 | 3000 | 0.2021 | 0.2356 |
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| 0.0733 | 2.85 | 3600 | 0.1791 | 0.2272 |
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| 0.0634 | 3.32 | 4200 | 0.1569 | 0.2003 |
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| 0.054 | 3.8 | 4800 | 0.1760 | 0.2110 |
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| 0.0442 | 4.27 | 5400 | 0.1789 | 0.1889 |
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| 0.0385 | 4.74 | 6000 | 0.1634 | 0.1774 |
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| 0.0358 | 5.22 | 6600 | 0.1583 | 0.1573 |
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| 0.0282 | 5.69 | 7200 | 0.1573 | 0.1570 |
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| 0.0243 | 6.17 | 7800 | 0.1539 | 0.1545 |
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| 0.0199 | 6.64 | 8400 | 0.1653 | 0.1505 |
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| 0.017 | 7.12 | 9000 | 0.1525 | 0.1299 |
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| 0.0127 | 7.59 | 9600 | 0.1524 | 0.1336 |
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| 0.0125 | 8.07 | 10200 | 0.1595 | 0.1291 |
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| 0.0079 | 8.54 | 10800 | 0.1598 | 0.1254 |
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| 0.0074 | 9.02 | 11400 | 0.1570 | 0.1254 |
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| 0.0039 | 9.49 | 12000 | 0.1746 | 0.1222 |
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| 0.0039 | 9.96 | 12600 | 0.1771 | 0.1202 |
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### Framework versions
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model.safetensors
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runs/Apr29_09-40-01_kudsit-dgxserver/events.out.tfevents.1714364799.kudsit-dgxserver.3581480.0
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