End of training

README.md

@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2364
-- Accuracy: 0.9241
-- F1: 0.9241
+- Loss: 0.2407
+- Accuracy: 0.9251
+- F1: 0.9251
 
 ## Model description
 
@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 32
 - eval_batch_size: 32
 - 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: 2
 
@@ -52,13 +52,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2620          | 0.91     | 0.9095 |
-| 0.295         | 2.0   | 626  | 0.2364          | 0.9241   | 0.9241 |
+| No log        | 1.0   | 313  | 0.2599          | 0.9108   | 0.9106 |
+| 0.2944        | 2.0   | 626  | 0.2407          | 0.9251   | 0.9251 |
 
 
 ### Framework versions
 
-- Transformers 4.45.2
+- Transformers 4.46.3
 - Pytorch 2.5.1
-- Datasets 2.19.1
-- Tokenizers 0.20.1
+- Datasets 2.16.1
+- Tokenizers 0.20.3

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f22e7ada715f3cf4b74b4e2cbee4e3c0efdef2f18e0d79b5e7524d3abc8bc5c5
 size 437964800