cwchang commited on
Commit
21a384f
1 Parent(s): 394d86b

Model save

Browse files
README.md CHANGED
@@ -1,40 +1,13 @@
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  ---
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  license: apache-2.0
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- base_model: distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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  datasets:
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  - wnut_17
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- metrics:
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- - precision
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- - recall
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- - f1
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- - accuracy
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  model-index:
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  - name: ner_model
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- results:
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- - task:
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- name: Token Classification
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- type: token-classification
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- dataset:
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- name: wnut_17
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- type: wnut_17
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- config: wnut_17
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- split: validation
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- args: wnut_17
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- metrics:
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- - name: Precision
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- type: precision
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- value: 0.7006578947368421
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- - name: Recall
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- type: recall
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- value: 0.5095693779904307
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- - name: F1
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- type: f1
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- value: 0.590027700831025
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- - name: Accuracy
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- type: accuracy
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- value: 0.9553054866806535
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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
@@ -42,13 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # ner_model
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- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the wnut_17 dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.2586
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- - Precision: 0.7007
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- - Recall: 0.5096
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- - F1: 0.5900
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- - Accuracy: 0.9553
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  ## Model description
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  ---
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  license: apache-2.0
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+ base_model: distilbert-base-multilingual-cased
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  tags:
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  - generated_from_trainer
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  datasets:
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  - wnut_17
 
 
 
 
 
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  model-index:
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  - name: ner_model
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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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  # ner_model
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+ This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the wnut_17 dataset.
 
 
 
 
 
 
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  ## Model description
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config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "distilbert-base-uncased",
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  "activation": "gelu",
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  "architectures": [
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  "DistilBertForTokenClassification"
@@ -44,6 +44,7 @@
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  "model_type": "distilbert",
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  "n_heads": 12,
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  "n_layers": 6,
 
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  "seq_classif_dropout": 0.2,
@@ -51,5 +52,5 @@
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- "vocab_size": 30522
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  {
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  "activation": "gelu",
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  "architectures": [
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  "DistilBertForTokenClassification"
 
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  "model_type": "distilbert",
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  "qa_dropout": 0.1,
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  "seq_classif_dropout": 0.2,
 
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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  "transformers_version": "4.36.0.dev0",
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tokenizer.json CHANGED
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tokenizer_config.json CHANGED
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