Training completed!

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8404237430637297
+      value: 0.8460373548712772
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 the xtreme dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2767
-- F1: 0.8404
+- Loss: 0.2745
+- F1: 0.8460
 
 ## Model description
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 191  | 0.3193          | 0.7799 |
-| No log        | 2.0   | 382  | 0.2654          | 0.8313 |
-| No log        | 3.0   | 573  | 0.2767          | 0.8404 |
+| No log        | 1.0   | 191  | 0.3232          | 0.7762 |
+| No log        | 2.0   | 382  | 0.2704          | 0.8274 |
+| No log        | 3.0   | 573  | 0.2745          | 0.8460 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:69b2dbdbe2e7db565f4d393511829630e4897774f17aeb9cb2f33d0898d9e161
+oid sha256:1fbcad2a1f558e0c1a1e3d0fbd2e08511d4b6f6f1b53e925fa734c61b4d5b1d2
 size 1109860880