update model card README.md

README.md

@@ -2,8 +2,6 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-datasets:
-- conll2003
 model-index:
 - name: distilbert-base-uncased-finetuned-ner
   results: []
@@ -14,18 +12,7 @@ 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 the conll2003 dataset.
-It achieves the following results on the evaluation set:
-- eval_loss: 0.0809
-- eval_precision: 0.8870
-- eval_recall: 0.9083
-- eval_f1: 0.8975
-- eval_accuracy: 0.9773
-- eval_runtime: 241.4911
-- eval_samples_per_second: 13.458
-- eval_steps_per_second: 0.845
-- epoch: 0.66
-- step: 576
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 
 ## Model description
 
@@ -52,9 +39,13 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
+### Training results
+
+
+
 ### Framework versions
 
-- Transformers 4.12.3
-- Pytorch 1.9.0+cu111
+- Transformers 4.12.5
+- Pytorch 1.10.0+cu111
 - Datasets 1.15.1
 - Tokenizers 0.10.3