End of training

README.md

@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # my_ner_model
 
-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: 0.2724
-- Precision: 0.5762
-- Recall: 0.3049
-- F1: 0.3988
-- Accuracy: 0.9420
+- Loss: 2.5010
+- Precision: 0.2
+- Recall: 0.2
+- F1: 0.2000
+- Accuracy: 0.3
 
 ## Model description
 
@@ -55,8 +55,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 213  | 0.2828          | 0.5558    | 0.2586 | 0.3529 | 0.9386   |
-| No log        | 2.0   | 426  | 0.2724          | 0.5762    | 0.3049 | 0.3988 | 0.9420   |
+| No log        | 1.0   | 1    | 2.5715          | 0.2       | 0.2    | 0.2000 | 0.3      |
+| No log        | 2.0   | 2    | 2.5010          | 0.2       | 0.2    | 0.2000 | 0.3      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6c17c710b1288a1ad647a1a74195285f2b8a8caf705a0bb32fb1b2bf239d20b4
+oid sha256:0cd894c5765441562f26aa022269e70ba5c0530468fc673316d7d7bd13c3dcd7
 size 265503852