End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [khalidrajan/roberta-base_legal_ner_finetuned](https://huggingface.co/khalidrajan/roberta-base_legal_ner_finetuned) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
-- Precision: 0.8263
-- Recall: 0.0
-- F1: 0.0
-- Accuracy: 0.0112
+- Loss: 1.1013
+- Precision: 0.7334
+- Recall: 0.7484
+- F1: 0.7400
+- Accuracy: 0.9582
 
 ## Model description
 
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| 0.0           | 1.0   | 340  | nan             | 0.8263    | 0.0    | 0.0 | 0.0112   |
-| 0.0           | 2.0   | 680  | nan             | 0.8263    | 0.0    | 0.0 | 0.0112   |
-| 0.0           | 3.0   | 1020 | nan             | 0.8263    | 0.0    | 0.0 | 0.0112   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 3.4124        | 1.0   | 340  | 14.5361         | 0.6441    | 0.7224 | 0.6809 | 0.9483   |
+| -8.6258       | 2.0   | 680  | 5.2745          | 0.7019    | 0.7273 | 0.7136 | 0.9521   |
+| -14.1587      | 3.0   | 1020 | 1.1013          | 0.7334    | 0.7484 | 0.7400 | 0.9582   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:30a788f4bfe3474cb9f4a419ebd39379db3178804c7af84defc2654e9b55b593
 size 496273984