End of training

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [youscan/ukr-roberta-base](https://huggingface.co/youscan/ukr-roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6549
+- Loss: 0.6170
 - Precision: 0.0
 - Recall: 0.0
 - F1: 0.0
-- Accuracy: 0.0930
+- Accuracy: 0.1628
 
 ## Model description
 
@@ -54,13 +54,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| 0.528         | 1.0   | 1621 | 0.6525          | 0.0       | 0.0    | 0.0 | 0.1628   |
-| 0.4406        | 2.0   | 3242 | 0.6549          | 0.0       | 0.0    | 0.0 | 0.0930   |
+| 0.494         | 1.0   | 1621 | 0.6159          | 0.0       | 0.0    | 0.0 | 0.1860   |
+| 0.4099        | 2.0   | 3242 | 0.6170          | 0.0       | 0.0    | 0.0 | 0.1628   |
 
 
 ### Framework versions
 
-- Transformers 4.34.0
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.5
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
 - Tokenizers 0.14.1

runs/Nov04_09-36-11_73f05b1f3c65/events.out.tfevents.1699090578.73f05b1f3c65.313.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7c242b554710e471f6f507c09de390a10cd6a2b859461317a508b5076c485e5a
-size 1153271
+oid sha256:da841209c6360a3e8d0828fe5c8617753dabcef613a289a7cdf276bb930524d3
+size 1154568