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-nonstudio_and_studioRecords
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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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| 0.0065 | 9.2 | 12000 | 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-nonstudio_and_studioRecords
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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: 0.1179
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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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| 1.1594 | 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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model.safetensors
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runs/May22_10-29-23_kudsit-dgxserver/events.out.tfevents.1716354727.kudsit-dgxserver.3904209.0
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