End of training

README.md

@@ -25,16 +25,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.7779299014238773
+      value: 0.8003614625330182
     - name: Recall
       type: recall
-      value: 0.8005071851225697
+      value: 0.8110735418427726
     - name: F1
       type: f1
-      value: 0.7890570754061935
+      value: 0.8056818976978517
     - name: Accuracy
       type: accuracy
-      value: 0.912818107767877
+      value: 0.9194332683336213
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -44,11 +44,11 @@ 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 the xtreme dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2988
-- Precision: 0.7779
-- Recall: 0.8005
-- F1: 0.7891
-- Accuracy: 0.9128
+- Loss: 0.2935
+- Precision: 0.8004
+- Recall: 0.8111
+- F1: 0.8057
+- Accuracy: 0.9194
 
 ## Model description
 
@@ -73,15 +73,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 417  | 0.3344          | 0.7337    | 0.7732 | 0.7529 | 0.9019   |
-| 0.5039        | 2.0   | 834  | 0.2995          | 0.7588    | 0.7932 | 0.7756 | 0.9104   |
-| 0.2841        | 3.0   | 1251 | 0.2988          | 0.7779    | 0.8005 | 0.7891 | 0.9128   |
+| No log        | 1.0   | 417  | 0.3359          | 0.7286    | 0.7675 | 0.7476 | 0.8991   |
+| 0.4227        | 2.0   | 834  | 0.2951          | 0.7711    | 0.7980 | 0.7843 | 0.9131   |
+| 0.2818        | 3.0   | 1251 | 0.2824          | 0.7852    | 0.8076 | 0.7962 | 0.9174   |
+| 0.2186        | 4.0   | 1668 | 0.2853          | 0.7934    | 0.8150 | 0.8041 | 0.9193   |
+| 0.1801        | 5.0   | 2085 | 0.2935          | 0.8004    | 0.8111 | 0.8057 | 0.9194   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:e8701935667229a1b5d43eea1ed268b151d3aa1a5ce8154f277b55a8766a4790
 size 1109902057