End of training

README.md

@@ -18,8 +18,8 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7253
-- F1: 0.8345
+- Loss: 0.5744
+- F1: 0.8680
 
 ## Model description
 
@@ -50,13 +50,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 60   | 1.0232          | 0.6518 |
-| No log        | 2.0   | 120  | 0.7253          | 0.8345 |
+| No log        | 1.0   | 60   | 0.8437          | 0.7975 |
+| No log        | 2.0   | 120  | 0.5744          | 0.8680 |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
 - Pytorch 2.5.0+cu121
-- Datasets 3.0.2
+- Datasets 3.1.0
 - Tokenizers 0.19.1

runs/Nov04_15-46-47_187299ee1eec/events.out.tfevents.1730735213.187299ee1eec.1160.1

@@ -1,3 +1,3 @@
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+oid sha256:0aa9fef8f9156230f104f23c24927e5b1470e764a6b38f80a3d476d8a4c7cb07
+size 6272