Training complete 2

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1616
-- F1: 0.8669
+- Loss: 0.1399
+- F1: 0.8650
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.0721        | 1.0   | 525  | 0.1785          | 0.8477 |
-| 0.0801        | 2.0   | 1050 | 0.1493          | 0.8603 |
-| 0.046         | 3.0   | 1575 | 0.1616          | 0.8669 |
+| 0.2631        | 1.0   | 525  | 0.1529          | 0.8260 |
+| 0.1279        | 2.0   | 1050 | 0.1412          | 0.8554 |
+| 0.0778        | 3.0   | 1575 | 0.1399          | 0.8650 |
 
 
 ### Framework versions

model.safetensors

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tokenizer.json

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training_args.bin

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