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bert-finetuned-ner

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  1. README.md +11 -13
README.md CHANGED
@@ -11,8 +11,6 @@ metrics:
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  model-index:
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  - name: bert-finetuned-ner
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  results: []
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- datasets:
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- - conll2002
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -22,11 +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-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1705
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- - Precision: 0.7588
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- - Recall: 0.8038
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- - F1: 0.7806
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- - Accuracy: 0.9680
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  ## Model description
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@@ -57,11 +55,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.0281 | 1.0 | 521 | 0.1800 | 0.7135 | 0.7578 | 0.7350 | 0.9610 |
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- | 0.0413 | 2.0 | 1042 | 0.1418 | 0.7279 | 0.7937 | 0.7594 | 0.9657 |
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- | 0.026 | 3.0 | 1563 | 0.1476 | 0.7575 | 0.8077 | 0.7818 | 0.9678 |
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- | 0.0172 | 4.0 | 2084 | 0.1660 | 0.7503 | 0.8022 | 0.7753 | 0.9676 |
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- | 0.0117 | 5.0 | 2605 | 0.1705 | 0.7588 | 0.8038 | 0.7806 | 0.9680 |
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  ### Framework versions
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  - Transformers 4.40.2
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.19.1
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- - Tokenizers 0.19.1
 
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  model-index:
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  - name: bert-finetuned-ner
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  results: []
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1471
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+ - Precision: 0.7369
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+ - Recall: 0.7943
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+ - F1: 0.7646
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+ - Accuracy: 0.9666
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.1691 | 1.0 | 521 | 0.1438 | 0.6830 | 0.7371 | 0.7090 | 0.9587 |
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+ | 0.076 | 2.0 | 1042 | 0.1402 | 0.7075 | 0.7670 | 0.7361 | 0.9622 |
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+ | 0.05 | 3.0 | 1563 | 0.1332 | 0.7536 | 0.7971 | 0.7748 | 0.9672 |
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+ | 0.0359 | 4.0 | 2084 | 0.1442 | 0.7420 | 0.7845 | 0.7626 | 0.9663 |
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+ | 0.0265 | 5.0 | 2605 | 0.1471 | 0.7369 | 0.7943 | 0.7646 | 0.9666 |
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  ### Framework versions
 
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  - Transformers 4.40.2
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.19.1
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+ - Tokenizers 0.19.1