Training complete on TPU - full dataset

README.md

@@ -1,6 +1,13 @@
 ---
+license: apache-2.0
+base_model: dslim/distilbert-NER
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: bert-base-cased
  results: []
@@ -11,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base-cased
 
-This model was trained from scratch on an unknown dataset.
+This model is a fine-tuned version of [dslim/distilbert-NER](https://huggingface.co/dslim/distilbert-NER) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0367
+- Precision: 0.9569
+- Recall: 0.9677
+- F1: 0.9623
+- Accuracy: 0.9915
 
 ## Model description
 
@@ -30,7 +43,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 1e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -42,7 +55,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log | 1.0 | 125 | 0.1593 | 0.6946 | 0.7342 | 0.7138 | 0.9523 |
+| 0.0315 | 1.0 | 1500 | 0.0367 | 0.9569 | 0.9677 | 0.9623 | 0.9915 |
 
 
 ### Framework versions