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hilmluo
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bert-finetuned-ner

Token Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
Inference Endpoints
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hilmluo commited on
Commit
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1 Parent(s): 9923abd

Training in progress epoch 0

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Files changed (3) hide show
  1. README.md +4 -6
  2. tf_model.h5 +1 -1
  3. tokenizer.json +1 -6
README.md CHANGED
@@ -14,9 +14,9 @@ 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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- - Train Loss: 0.0242
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- - Validation Loss: 0.0571
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- - Epoch: 2
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  ## Model description
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@@ -42,9 +42,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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- | 0.1183 | 0.0553 | 0 |
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- | 0.0384 | 0.0524 | 1 |
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- | 0.0242 | 0.0571 | 2 |
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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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+ - Train Loss: 0.1265
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+ - Validation Loss: 0.0535
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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+ | 0.1265 | 0.0535 | 0 |
 
 
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  ### Framework versions
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tokenizer.json CHANGED
@@ -1,11 +1,6 @@
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  {
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  "version": "1.0",
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- "strategy": "LongestFirst",
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- "stride": 0
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- },
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  "padding": null,
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  "added_tokens": [
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  {
 
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