bloomdata/distilbert-base-uncased-ner

README.md

@@ -21,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.0006
+- Loss: 0.0007
 - Precision: 1.0
 - Recall: 1.0
 - F1: 1.0
@@ -59,7 +59,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| 0.0024        | 0.7273 | 500  | 0.0006          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0025        | 0.7273 | 500  | 0.0007          | 1.0       | 1.0    | 1.0 | 1.0      |
 | 0.0011        | 1.4545 | 1000 | 0.0003          | 1.0       | 1.0    | 1.0 | 1.0      |
 
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aa6dedb73dc223cd7ceb03c3c300e3a0d29f2b922d4bee3923a8518f6418b03d
+oid sha256:293dfdffc01f64adacbcdb96b6295746bf6ca40b48a416633138babb41d50c26
 size 265494624