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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@@ -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.
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| 0.167 | 0.95 | 1200 | 0.
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| 0.0079 | 8.54 | 10800 | 0.
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| 0.0039 | 9.49 | 12000 | 0.
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| 0.0039 | 9.96 | 12600 | 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:
|
9 |
- 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: 0.1707
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- Wer: 0.1157
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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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| 1.0465 | 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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model.safetensors
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runs/Apr30_09-50-59_kudsit-dgxserver/events.out.tfevents.1714451870.kudsit-dgxserver.914216.0
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