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: 0.0731
-- Precision: 0.6213
-- Recall: 0.6754
-- F1: 0.6472
-- Accuracy: 0.9761
+- Loss: 0.0764
+- Precision: 0.6144
+- Recall: 0.6696
+- F1: 0.6408
+- Accuracy: 0.9747
 
 ## Model description
 
@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 63   | 0.1220          | 0.3423    | 0.3681 | 0.3547 | 0.9567   |
-| No log        | 2.0   | 126  | 0.0837          | 0.5305    | 0.5797 | 0.5540 | 0.9714   |
-| No log        | 3.0   | 189  | 0.0751          | 0.5950    | 0.6261 | 0.6102 | 0.9749   |
-| No log        | 4.0   | 252  | 0.0729          | 0.6118    | 0.6623 | 0.6360 | 0.9763   |
-| No log        | 5.0   | 315  | 0.0731          | 0.6213    | 0.6754 | 0.6472 | 0.9761   |
+| No log        | 1.0   | 63   | 0.1328          | 0.2586    | 0.3043 | 0.2796 | 0.9522   |
+| No log        | 2.0   | 126  | 0.0885          | 0.4876    | 0.5681 | 0.5248 | 0.9688   |
+| No log        | 3.0   | 189  | 0.0816          | 0.5514    | 0.5913 | 0.5706 | 0.9720   |
+| No log        | 4.0   | 252  | 0.0764          | 0.6086    | 0.6536 | 0.6303 | 0.9748   |
+| No log        | 5.0   | 315  | 0.0764          | 0.6144    | 0.6696 | 0.6408 | 0.9747   |
 
 
 ### Framework versions