Training complete

README.md

@@ -19,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-finetuned-ner
 
-This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2235
-- Precision: 0.5154
-- Recall: 0.6904
-- F1: 0.5902
-- Accuracy: 0.9473
+- Loss: 0.2347
+- Precision: 0.4874
+- Recall: 0.6780
+- F1: 0.5671
+- Accuracy: 0.9425
 
 ## Model description
 
@@ -48,7 +48,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 3
 
@@ -56,14 +56,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 249  | 0.2234          | 0.4448    | 0.6481 | 0.5275 | 0.9412   |
-| No log        | 2.0   | 498  | 0.2163          | 0.4894    | 0.6904 | 0.5728 | 0.9439   |
-| 0.1922        | 3.0   | 747  | 0.2235          | 0.5154    | 0.6904 | 0.5902 | 0.9473   |
+| No log        | 1.0   | 249  | 0.2283          | 0.4375    | 0.6068 | 0.5084 | 0.9391   |
+| No log        | 2.0   | 498  | 0.2253          | 0.4571    | 0.6760 | 0.5454 | 0.9387   |
+| 0.2024        | 3.0   | 747  | 0.2347          | 0.4874    | 0.6780 | 0.5671 | 0.9425   |
 
 
 ### Framework versions
 
-- Transformers 4.44.2
+- Transformers 4.46.2
 - Pytorch 2.5.0+cu121
-- Datasets 3.1.0
-- Tokenizers 0.19.1
+- Tokenizers 0.20.3

runs/Nov12_17-46-40_be16118db82a/events.out.tfevents.1731433603.be16118db82a.743.0

@@ -1,3 +1,3 @@
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-size 6835
+oid sha256:7e0046c4f642bca2e7611c7bc8cfa03e310e8c2f73e594a17462966e1f61b5c4
+size 7661