End of training

README.md

@@ -18,13 +18,13 @@ 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.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0664
-- Precision: 0.9345
-- Recall: 0.9421
-- F1: 0.9383
-- Accuracy: 0.9852
+- Loss: 0.1242
+- Precision: 0.7628
+- Recall: 0.7790
+- F1: 0.7708
+- Accuracy: 0.9658
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0303        | 1.0   | 878  | 0.0579          | 0.9295    | 0.9352 | 0.9324 | 0.9838   |
-| 0.0167        | 2.0   | 1756 | 0.0619          | 0.9333    | 0.9421 | 0.9376 | 0.9849   |
-| 0.0114        | 3.0   | 2634 | 0.0664          | 0.9345    | 0.9421 | 0.9383 | 0.9852   |
+| 0.0742        | 1.0   | 2531 | 0.1280          | 0.7336    | 0.7800 | 0.7561 | 0.9628   |
+| 0.0628        | 2.0   | 5062 | 0.1235          | 0.7665    | 0.7686 | 0.7675 | 0.9656   |
+| 0.0581        | 3.0   | 7593 | 0.1242          | 0.7628    | 0.7790 | 0.7708 | 0.9658   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3d3489de8e8a96b471f686a011a861b93ea7f278fdf98ace5bd8d2a4c5d6c230
+oid sha256:e851e305b6e9335edf731ecaa4921c0ee8865b426a9e6ae18aab9157a4444393
 size 265677538