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muhtasham
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bert-tiny-finetuned-wnut17-ner

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update model card README.md

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@@ -43,7 +43,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the wnut_17 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4820
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  - Precision: 0.0
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  - Recall: 0.0
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  - F1: 0.0
@@ -72,15 +72,27 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 3
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 27 | 1.8665 | 0.0732 | 0.0119 | 0.0205 | 0.8878 |
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- | No log | 2.0 | 54 | 1.5702 | 0.0 | 0.0 | 0.0 | 0.8961 |
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- | No log | 3.0 | 81 | 1.4820 | 0.0 | 0.0 | 0.0 | 0.8961 |
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the wnut_17 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6054
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  - Precision: 0.0
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  - Recall: 0.0
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  - F1: 0.0
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 15
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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+ | No log | 1.0 | 27 | 1.1060 | 0.0 | 0.0 | 0.0 | 0.8961 |
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+ | No log | 2.0 | 54 | 0.9075 | 0.0 | 0.0 | 0.0 | 0.8961 |
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+ | No log | 3.0 | 81 | 0.7978 | 0.0 | 0.0 | 0.0 | 0.8961 |
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+ | No log | 4.0 | 108 | 0.7333 | 0.0 | 0.0 | 0.0 | 0.8961 |
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+ | No log | 5.0 | 135 | 0.6929 | 0.0 | 0.0 | 0.0 | 0.8961 |
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+ | No log | 6.0 | 162 | 0.6661 | 0.0 | 0.0 | 0.0 | 0.8961 |
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+ | No log | 7.0 | 189 | 0.6477 | 0.0 | 0.0 | 0.0 | 0.8961 |
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+ | No log | 8.0 | 216 | 0.6346 | 0.0 | 0.0 | 0.0 | 0.8961 |
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+ | No log | 9.0 | 243 | 0.6251 | 0.0 | 0.0 | 0.0 | 0.8961 |
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+ | No log | 10.0 | 270 | 0.6182 | 0.0 | 0.0 | 0.0 | 0.8961 |
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+ | No log | 11.0 | 297 | 0.6132 | 0.0 | 0.0 | 0.0 | 0.8961 |
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+ | No log | 12.0 | 324 | 0.6097 | 0.0 | 0.0 | 0.0 | 0.8961 |
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+ | No log | 13.0 | 351 | 0.6073 | 0.0 | 0.0 | 0.0 | 0.8961 |
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+ | No log | 14.0 | 378 | 0.6059 | 0.0 | 0.0 | 0.0 | 0.8961 |
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+ | No log | 15.0 | 405 | 0.6054 | 0.0 | 0.0 | 0.0 | 0.8961 |
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  ### Framework versions