Training completed!

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8646808510638297
+      value: 0.8631973639359163
 ---
 
 <!-- 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: 0.1361
-- F1: 0.8647
+- Loss: 0.1341
+- F1: 0.8632
 
 ## Model description
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2595        | 1.0   | 525  | 0.1540          | 0.8302 |
-| 0.1265        | 2.0   | 1050 | 0.1493          | 0.8468 |
-| 0.0806        | 3.0   | 1575 | 0.1361          | 0.8647 |
+| 0.2754        | 1.0   | 525  | 0.1635          | 0.8128 |
+| 0.1302        | 2.0   | 1050 | 0.1371          | 0.8567 |
+| 0.083         | 3.0   | 1575 | 0.1341          | 0.8632 |
 
 
 ### 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",

pytorch_model.bin

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tokenizer.json

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training_args.bin

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