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 [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9148
-- Accuracy: 0.6773
-- Precision: 0.6773
-- Recall: 0.6773
-- F1 Score: 0.6772
+- Loss: 1.7328
+- Accuracy: 0.7770
+- Precision: 0.7770
+- Recall: 0.7770
+- F1 Score: 0.7772
 
 ## Model description
 
@@ -48,18 +48,22 @@ The following hyperparameters were used during training:
 - seed: 101
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 6
+- num_epochs: 10
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1 Score |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:--------:|
-| 1.2796        | 1.0   | 10330 | 1.3342          | 0.6013   | 0.6013    | 0.6013 | 0.6020   |
-| 1.9914        | 2.0   | 20660 | 2.2850          | 0.6454   | 0.6454    | 0.6454 | 0.6469   |
-| 1.8592        | 3.0   | 30990 | 2.2262          | 0.6072   | 0.6072    | 0.6072 | 0.6093   |
-| 1.7136        | 4.0   | 41320 | 1.8905          | 0.6614   | 0.6614    | 0.6614 | 0.6617   |
-| 1.512         | 5.0   | 51650 | 1.8921          | 0.6736   | 0.6736    | 0.6736 | 0.6731   |
-| 1.5185        | 6.0   | 61980 | 1.9148          | 0.6773   | 0.6773    | 0.6773 | 0.6772   |
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy | Precision | Recall | F1 Score |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|:---------:|:------:|:--------:|
+| 1.4856        | 1.0   | 10330  | 1.7105          | 0.6063   | 0.6063    | 0.6063 | 0.6096   |
+| 1.8291        | 2.0   | 20660  | 1.7699          | 0.6800   | 0.6800    | 0.6800 | 0.6785   |
+| 1.7113        | 3.0   | 30990  | 1.6908          | 0.7260   | 0.7260    | 0.7260 | 0.7254   |
+| 1.6058        | 4.0   | 41320  | 1.6276          | 0.7456   | 0.7456    | 0.7456 | 0.7451   |
+| 1.3499        | 5.0   | 51650  | 1.6436          | 0.7565   | 0.7565    | 0.7565 | 0.7568   |
+| 1.1362        | 6.0   | 61980  | 1.6715          | 0.7615   | 0.7615    | 0.7615 | 0.7619   |
+| 1.1918        | 7.0   | 72310  | 1.7237          | 0.7738   | 0.7738    | 0.7738 | 0.7743   |
+| 0.9035        | 8.0   | 82640  | 1.7436          | 0.7751   | 0.7751    | 0.7751 | 0.7750   |
+| 0.9824        | 9.0   | 92970  | 1.7354          | 0.7806   | 0.7806    | 0.7806 | 0.7804   |
+| 0.9303        | 10.0  | 103300 | 1.7328          | 0.7770   | 0.7770    | 0.7770 | 0.7772   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ba3606b3c4bfa826f86a6edd456124b4c9a29b11a9e321a8cb4db7a5eb97a1b0
+oid sha256:be6de350d83b6de8f68bc8b5718396b9b9587273199ab7762fb6d90bd7930778
 size 2239709617

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c43bbd8fd1266e5009162f286b661aa7f616c5dc0a027b854fe0256ebe202840
-size 4219
+oid sha256:0796bbf83efcaadf73c75d1d1ded6a5f16523096490a6badf0fc6298141128fa
+size 4283