Training completed!

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8642857142857142
+      value: 0.8627339761769711
 ---
 
 <!-- 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: 0.1381
-- F1: 0.8643
+- Loss: 0.1383
+- F1: 0.8627
 
 ## Model description
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2604        | 1.0   | 525  | 0.1525          | 0.8224 |
-| 0.128         | 2.0   | 1050 | 0.1355          | 0.8557 |
-| 0.0791        | 3.0   | 1575 | 0.1381          | 0.8643 |
+| 0.2614        | 1.0   | 525  | 0.1544          | 0.8270 |
+| 0.1292        | 2.0   | 1050 | 0.1322          | 0.8537 |
+| 0.0804        | 3.0   | 1575 | 0.1383          | 0.8627 |
 
 
 ### Framework versions

config.json

@@ -11,6 +11,7 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
+    "-100": "IGN",
     "0": "O",
     "1": "B-PER",
     "2": "I-PER",

model.safetensors

@@ -1,3 +1,3 @@
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-size 1109857804
+oid sha256:03dae1ceb3706d356429b4f065d71bd6374228711b4de9bda889a36f77156c0e
+size 1109860880

runs/Jul02_16-43-38_DESKTOP-OE23I82/events.out.tfevents.1719959506.DESKTOP-OE23I82.18774.3

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+size 7130