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 [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2904
-- Accuracy: 0.876
-- Precision: 0.869
-- Recall: 0.889
-- F1: 0.879
+- Loss: 0.2926
+- Accuracy: 0.879
+- Precision: 0.866
+- Recall: 0.899
+- F1: 0.882
 
 ## Model description
 
@@ -55,15 +55,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1    |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:-----:|
-| 0.2521        | 1.0   | 686  | 0.2426          | 0.899    | 0.891     | 0.899  | 0.895 |
-| 0.396         | 2.0   | 1372 | 0.2476          | 0.896    | 0.868     | 0.922  | 0.894 |
-| 0.2904        | 3.0   | 2058 | 0.2532          | 0.891    | 0.916     | 0.851  | 0.882 |
-| 0.2323        | 4.0   | 2744 | 0.2441          | 0.899    | 0.903     | 0.884  | 0.894 |
+| 0.205         | 1.0   | 686  | 0.2434          | 0.9      | 0.882     | 0.913  | 0.897 |
+| 0.3799        | 2.0   | 1372 | 0.2525          | 0.895    | 0.867     | 0.922  | 0.894 |
+| 0.3218        | 3.0   | 2058 | 0.2512          | 0.898    | 0.912     | 0.87   | 0.891 |
+| 0.2818        | 4.0   | 2744 | 0.2460          | 0.903    | 0.898     | 0.899  | 0.899 |
 
 
 ### Framework versions
 
-- Transformers 4.41.2
-- Pytorch 2.3.1+cu121
-- Datasets 2.20.0
+- Transformers 4.40.1
+- Pytorch 2.5.1+cu118
+- Datasets 2.19.1
 - Tokenizers 0.19.1

config.json

@@ -28,7 +28,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.41.2",
+  "transformers_version": "4.40.1",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

model.safetensors

@@ -1,3 +1,3 @@
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 size 1340622760

training_args.bin

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+size 4920