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laptop_sentence_classfication_BERT

Text Classification
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bert
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text-embeddings-inference
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update model card README.md

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  1. README.md +22 -22
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8921
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- - Accuracy: 0.8615
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  ## Model description
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@@ -48,26 +48,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 25 | 0.4984 | 0.7769 |
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- | No log | 2.0 | 50 | 0.3184 | 0.8692 |
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- | No log | 3.0 | 75 | 0.4847 | 0.8231 |
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- | No log | 4.0 | 100 | 0.3503 | 0.8769 |
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- | No log | 5.0 | 125 | 0.4538 | 0.8769 |
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- | No log | 6.0 | 150 | 0.4700 | 0.8923 |
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- | No log | 7.0 | 175 | 0.4105 | 0.9154 |
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- | No log | 8.0 | 200 | 0.6297 | 0.8538 |
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- | No log | 9.0 | 225 | 0.4207 | 0.9154 |
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- | No log | 10.0 | 250 | 0.5920 | 0.8769 |
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- | No log | 11.0 | 275 | 0.7523 | 0.8615 |
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- | No log | 12.0 | 300 | 0.7610 | 0.8615 |
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- | No log | 13.0 | 325 | 0.7380 | 0.8769 |
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- | No log | 14.0 | 350 | 0.8275 | 0.8615 |
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- | No log | 15.0 | 375 | 0.9103 | 0.8538 |
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- | No log | 16.0 | 400 | 0.7819 | 0.8615 |
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- | No log | 17.0 | 425 | 0.7302 | 0.8692 |
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- | No log | 18.0 | 450 | 0.8532 | 0.8615 |
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- | No log | 19.0 | 475 | 0.8605 | 0.8615 |
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- | 0.1038 | 20.0 | 500 | 0.8921 | 0.8615 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8406
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+ - Accuracy: 0.8769
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 25 | 0.4663 | 0.8077 |
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+ | No log | 2.0 | 50 | 0.4100 | 0.8308 |
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+ | No log | 3.0 | 75 | 0.4531 | 0.8615 |
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+ | No log | 4.0 | 100 | 0.4976 | 0.8846 |
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+ | No log | 5.0 | 125 | 0.6578 | 0.8385 |
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+ | No log | 6.0 | 150 | 0.5496 | 0.8923 |
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+ | No log | 7.0 | 175 | 0.5331 | 0.9 |
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+ | No log | 8.0 | 200 | 0.6781 | 0.8538 |
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+ | No log | 9.0 | 225 | 0.7478 | 0.8538 |
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+ | No log | 10.0 | 250 | 0.8248 | 0.8462 |
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+ | No log | 11.0 | 275 | 0.6933 | 0.8846 |
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+ | No log | 12.0 | 300 | 0.7508 | 0.8846 |
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+ | No log | 13.0 | 325 | 0.7998 | 0.8846 |
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+ | No log | 14.0 | 350 | 0.8110 | 0.8846 |
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+ | No log | 15.0 | 375 | 0.8330 | 0.8846 |
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+ | No log | 16.0 | 400 | 0.8348 | 0.8692 |
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+ | No log | 17.0 | 425 | 0.8406 | 0.8692 |
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+ | No log | 18.0 | 450 | 0.8381 | 0.8615 |
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+ | No log | 19.0 | 475 | 0.8391 | 0.8769 |
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+ | 0.0826 | 20.0 | 500 | 0.8406 | 0.8769 |
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  ### Framework versions