End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: distilbert-base-uncased
+base_model: somskat/distilbert-base-uncased-finetuned-ner
 tags:
 - generated_from_trainer
 model-index:
@@ -13,18 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-base-uncased-finetuned-ner
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- eval_loss: 0.0706
-- eval_precision: 0.8990
-- eval_recall: 0.9176
-- eval_f1: 0.9082
-- eval_accuracy: 0.9798
-- eval_runtime: 111.3637
-- eval_samples_per_second: 29.184
-- eval_steps_per_second: 1.832
-- epoch: 1.0
-- step: 878
+This model is a fine-tuned version of [somskat/distilbert-base-uncased-finetuned-ner](https://huggingface.co/somskat/distilbert-base-uncased-finetuned-ner) on the None dataset.
 
 ## Model description
 

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "distilbert-base-uncased",
+  "_name_or_path": "somskat/distilbert-base-uncased-finetuned-ner",
   "activation": "gelu",
   "architectures": [
     "DistilBertForTokenClassification"
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   "max_position_embeddings": 512,
   "model_type": "distilbert",

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tokenizer.json

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 {
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-    "strategy": "LongestFirst",
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   "added_tokens": [
     {

training_args.bin

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