Training completed

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8636932529297986
+      value: 0.864374077857224
 ---
 
 <!-- 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: 0.1342
-- F1: 0.8637
+- Loss: 0.1370
+- F1: 0.8644
 
 ## Model description
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2607        | 1.0   | 525  | 0.1529          | 0.8156 |
-| 0.1265        | 2.0   | 1050 | 0.1445          | 0.8487 |
-| 0.0838        | 3.0   | 1575 | 0.1342          | 0.8637 |
+| 0.2585        | 1.0   | 525  | 0.1510          | 0.8236 |
+| 0.1246        | 2.0   | 1050 | 0.1427          | 0.8511 |
+| 0.08          | 3.0   | 1575 | 0.1370          | 0.8644 |
 
 
 ### Framework versions

model.safetensors

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runs/Jan29_06-06-12_2e63547a08bd/events.out.tfevents.1706508598.2e63547a08bd.1525.0

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training_args.bin

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