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 [ViktorDo/EcoBERT-Pretrained](https://huggingface.co/ViktorDo/EcoBERT-Pretrained) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0793
-- Precision: 0.5392
-- Recall: 0.6269
-- F1: 0.5798
-- Accuracy: 0.9707
+- Loss: 0.0830
+- Precision: 0.5278
+- Recall: 0.6129
+- F1: 0.5672
+- Accuracy: 0.9698
 
 ## Model description
 
@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 55   | 0.1232          | 0.3138    | 0.3156 | 0.3147 | 0.9506   |
-| No log        | 2.0   | 110  | 0.0903          | 0.4718    | 0.5400 | 0.5036 | 0.9666   |
-| No log        | 3.0   | 165  | 0.0800          | 0.5141    | 0.6157 | 0.5603 | 0.9699   |
-| No log        | 4.0   | 220  | 0.0746          | 0.5253    | 0.6115 | 0.5651 | 0.9719   |
-| No log        | 5.0   | 275  | 0.0793          | 0.5392    | 0.6269 | 0.5798 | 0.9707   |
+| No log        | 1.0   | 55   | 0.1278          | 0.3136    | 0.3871 | 0.3465 | 0.9466   |
+| No log        | 2.0   | 110  | 0.0904          | 0.4455    | 0.5442 | 0.4899 | 0.9657   |
+| No log        | 3.0   | 165  | 0.0825          | 0.5096    | 0.6339 | 0.5650 | 0.9691   |
+| No log        | 4.0   | 220  | 0.0795          | 0.5083    | 0.6003 | 0.5505 | 0.9699   |
+| No log        | 5.0   | 275  | 0.0830          | 0.5278    | 0.6129 | 0.5672 | 0.9698   |
 
 
 ### Framework versions
 
-- Transformers 4.33.0
+- Transformers 4.33.2
 - Pytorch 2.0.1+cu118
-- Datasets 2.14.4
+- Datasets 2.14.5
 - Tokenizers 0.13.3