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bert-base-uncased-grammar-ner-generic

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  1. README.md +11 -11
  2. config.json +6 -6
  3. model.safetensors +1 -1
  4. runs/Dec12_22-26-34_a365e7b9463b/events.out.tfevents.1734042396.a365e7b9463b.6288.0 +3 -0
  5. runs/Dec12_22-27-28_a365e7b9463b/events.out.tfevents.1734042448.a365e7b9463b.6288.1 +3 -0
  6. runs/Dec12_22-28-22_a365e7b9463b/events.out.tfevents.1734042503.a365e7b9463b.6288.2 +3 -0
  7. runs/Dec12_22-28-43_a365e7b9463b/events.out.tfevents.1734042524.a365e7b9463b.6288.3 +3 -0
  8. runs/Dec12_22-29-07_a365e7b9463b/events.out.tfevents.1734042547.a365e7b9463b.6288.4 +3 -0
  9. training_args.bin +1 -1
README.md CHANGED
@@ -18,14 +18,14 @@ 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: 0.0307
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- - Accuracy: 0.9955
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- - F1 Macro: 0.9956
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- - F1 Micro: 0.9956
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- - Precision Macro: 0.9938
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- - Precision Micro: 0.9938
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- - Recall Macro: 0.9974
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- - Recall Micro: 0.9974
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  ## Model description
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@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Micro | Precision Macro | Precision Micro | Recall Macro | Recall Micro |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|:---------------:|:---------------:|:------------:|:------------:|
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- | 0.0031 | 1.0 | 93 | 0.0442 | 0.9942 | 0.9944 | 0.9944 | 0.9922 | 0.9922 | 0.9965 | 0.9965 |
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- | 0.0033 | 2.0 | 186 | 0.0290 | 0.9952 | 0.9953 | 0.9953 | 0.9940 | 0.9940 | 0.9967 | 0.9967 |
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- | 0.0013 | 3.0 | 279 | 0.0307 | 0.9955 | 0.9956 | 0.9956 | 0.9938 | 0.9938 | 0.9974 | 0.9974 |
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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: 0.0939
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+ - Accuracy: 0.9856
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+ - F1 Macro: 0.8809
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+ - F1 Micro: 0.8809
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+ - Precision Macro: 0.8970
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+ - Precision Micro: 0.8970
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+ - Recall Macro: 0.8654
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+ - Recall Micro: 0.8654
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Micro | Precision Macro | Precision Micro | Recall Macro | Recall Micro |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|:---------------:|:---------------:|:------------:|:------------:|
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+ | 0.0117 | 1.0 | 93 | 0.1278 | 0.9781 | 0.8046 | 0.8046 | 0.8322 | 0.8322 | 0.7788 | 0.7788 |
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+ | 0.008 | 2.0 | 186 | 0.0995 | 0.9860 | 0.8832 | 0.8832 | 0.9355 | 0.9355 | 0.8365 | 0.8365 |
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+ | 0.0054 | 3.0 | 279 | 0.0939 | 0.9856 | 0.8809 | 0.8809 | 0.8970 | 0.8970 | 0.8654 | 0.8654 |
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  ### Framework versions
config.json CHANGED
@@ -10,16 +10,16 @@
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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  "id2label": {
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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  "layer_norm_eps": 1e-12,
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