Training complete

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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8648
-- Accuracy: 0.8602
+- Loss: 0.8598
+- Accuracy: 0.8527
 
 ## Model description
 
@@ -50,14 +50,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3959        | 1.0   | 1067 | 0.3935          | 0.8377   |
-| 0.2191        | 2.0   | 2134 | 0.7040          | 0.8490   |
-| 0.0652        | 3.0   | 3201 | 0.8648          | 0.8602   |
+| 0.405         | 1.0   | 1067 | 0.3657          | 0.8546   |
+| 0.225         | 2.0   | 2134 | 0.7075          | 0.8433   |
+| 0.0711        | 3.0   | 3201 | 0.8598          | 0.8527   |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
-- Pytorch 2.1.0+cu121
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

@@ -32,7 +32,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.38.2",
+  "transformers_version": "4.40.2",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

model.safetensors

@@ -1,3 +1,3 @@
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 size 437964800

training_args.bin

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