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bert-from-single-text-file

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End of training

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  1. README.md +26 -10
README.md CHANGED
@@ -18,7 +18,7 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.7947
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  ## Model description
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@@ -50,15 +50,31 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 2.9659 | 0.1050 | 200 | 2.9105 |
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- | 2.8784 | 0.2100 | 400 | 2.8161 |
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- | 2.83 | 0.3150 | 600 | 2.8043 |
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- | 2.8066 | 0.4199 | 800 | 2.8001 |
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- | 2.8438 | 0.5249 | 1000 | 2.7993 |
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- | 2.8466 | 0.6299 | 1200 | 2.7969 |
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- | 2.7455 | 0.7349 | 1400 | 2.7961 |
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- | 2.8339 | 0.8399 | 1600 | 2.7949 |
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- | 2.7977 | 0.9449 | 1800 | 2.7947 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 0.0 | 0.0393 | 200 | 0.0 |
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+ | 0.0 | 0.0786 | 400 | 0.0 |
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+ | 0.0 | 0.1179 | 600 | 0.0 |
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+ | 0.0 | 0.1573 | 800 | 0.0 |
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+ | 0.0 | 0.1966 | 1000 | 0.0 |
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+ | 0.0 | 0.2359 | 1200 | 0.0 |
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+ | 0.0 | 0.2752 | 1400 | 0.0 |
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+ | 0.0 | 0.3145 | 1600 | 0.0 |
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+ | 0.0 | 0.3538 | 1800 | 0.0 |
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+ | 0.0 | 0.3932 | 2000 | 0.0 |
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+ | 0.0 | 0.4325 | 2200 | 0.0 |
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+ | 0.0 | 0.4718 | 2400 | 0.0 |
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+ | 0.0 | 0.5111 | 2600 | 0.0 |
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+ | 0.0 | 0.5504 | 2800 | 0.0 |
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+ | 0.0 | 0.5897 | 3000 | 0.0 |
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+ | 0.0 | 0.6291 | 3200 | 0.0 |
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+ | 0.0 | 0.6684 | 3400 | 0.0 |
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+ | 0.0 | 0.7077 | 3600 | 0.0 |
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+ | 0.0 | 0.7470 | 3800 | 0.0 |
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+ | 0.0 | 0.7863 | 4000 | 0.0 |
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+ | 0.0 | 0.8256 | 4200 | 0.0 |
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+ | 0.0 | 0.8649 | 4400 | 0.0 |
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+ | 0.0 | 0.9043 | 4600 | 0.0 |
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+ | 0.0 | 0.9436 | 4800 | 0.0 |
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+ | 0.0 | 0.9829 | 5000 | 0.0 |
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  ### Framework versions