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MENG21
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results_bert-base-uncased

Text Classification
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Safetensors
bert
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End of training

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  1. README.md +15 -15
  2. model.safetensors +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1844
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- - Accuracy: 0.9301
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- - Precision: 0.9366
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- - Recall: 0.9489
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- - F1: 0.9427
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  ## Model description
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@@ -56,16 +56,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 0.5556 | 0.09 | 50 | 0.6183 | 0.8038 | 0.7584 | 0.9921 | 0.8596 |
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- | 0.29 | 0.19 | 100 | 0.2173 | 0.9086 | 0.9199 | 0.9301 | 0.9250 |
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- | 0.2393 | 0.28 | 150 | 0.2499 | 0.8975 | 0.8681 | 0.9796 | 0.9205 |
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- | 0.2177 | 0.38 | 200 | 0.2091 | 0.9156 | 0.9286 | 0.9324 | 0.9305 |
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- | 0.2202 | 0.47 | 250 | 0.2516 | 0.9062 | 0.8891 | 0.9654 | 0.9257 |
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- | 0.2059 | 0.56 | 300 | 0.2358 | 0.9153 | 0.9125 | 0.9514 | 0.9315 |
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- | 0.2158 | 0.66 | 350 | 0.1828 | 0.9255 | 0.9339 | 0.9437 | 0.9388 |
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- | 0.1997 | 0.75 | 400 | 0.1901 | 0.9263 | 0.9310 | 0.9486 | 0.9397 |
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- | 0.1713 | 0.84 | 450 | 0.1830 | 0.9290 | 0.9376 | 0.9457 | 0.9417 |
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- | 0.1569 | 0.94 | 500 | 0.1844 | 0.9301 | 0.9366 | 0.9489 | 0.9427 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1808
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+ - Accuracy: 0.9261
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+ - Precision: 0.9343
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+ - Recall: 0.9443
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+ - F1: 0.9393
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.5507 | 0.09 | 50 | 0.3325 | 0.8642 | 0.9461 | 0.8224 | 0.8799 |
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+ | 0.3193 | 0.18 | 100 | 0.3217 | 0.8701 | 0.9665 | 0.8135 | 0.8835 |
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+ | 0.2726 | 0.28 | 150 | 0.2532 | 0.8918 | 0.9091 | 0.9125 | 0.9108 |
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+ | 0.2143 | 0.37 | 200 | 0.2203 | 0.9146 | 0.9281 | 0.9310 | 0.9295 |
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+ | 0.2134 | 0.46 | 250 | 0.2371 | 0.9162 | 0.9035 | 0.9645 | 0.9330 |
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+ | 0.2234 | 0.55 | 300 | 0.2027 | 0.9178 | 0.9130 | 0.9552 | 0.9336 |
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+ | 0.2139 | 0.64 | 350 | 0.1986 | 0.9194 | 0.9125 | 0.9587 | 0.9351 |
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+ | 0.2062 | 0.74 | 400 | 0.1853 | 0.9222 | 0.9469 | 0.9232 | 0.9349 |
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+ | 0.1793 | 0.83 | 450 | 0.1953 | 0.9244 | 0.9213 | 0.9567 | 0.9387 |
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+ | 0.1771 | 0.92 | 500 | 0.1808 | 0.9261 | 0.9343 | 0.9443 | 0.9393 |
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  ### Framework versions
model.safetensors CHANGED
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