End of training

README.md

@@ -17,15 +17,15 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# my_awesome_personal_trained_model
+# ner-model
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7459
+- Loss: 0.4781
 - Precision: 0.0
 - Recall: 0.0
 - F1: 0.0
-- Accuracy: 0.83
+- Accuracy: 0.8567
 
 ## Model description
 
@@ -56,8 +56,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 2    | 0.8708          | 0.0       | 0.0    | 0.0 | 0.77     |
-| No log        | 2.0   | 4    | 0.7459          | 0.0       | 0.0    | 0.0 | 0.83     |
+| No log        | 1.0   | 2    | 0.4913          | 0.0       | 0.0    | 0.0 | 0.8567   |
+| No log        | 2.0   | 4    | 0.4781          | 0.0       | 0.0    | 0.0 | 0.8567   |
 
 
 ### Framework versions

runs/Jan15_17-06-25_d546f1e4004f/events.out.tfevents.1736960786.d546f1e4004f.268.4

@@ -1,3 +1,3 @@
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-size 5972
+oid sha256:1efe536d16f554f14f734ec04af144f7e9883b66c655152a72d34cd220476321
+size 6320