Training complete

README.md

@@ -17,8 +17,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2558
-- F1: 0.8364
+- Loss: 0.2628
+- F1: 0.8342
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.5889        | 1.0   | 105  | 0.3424          | 0.7506 |
-| 0.251         | 2.0   | 210  | 0.2904          | 0.7989 |
-| 0.1613        | 3.0   | 315  | 0.2558          | 0.8364 |
+| 0.6143        | 1.0   | 105  | 0.3355          | 0.7326 |
+| 0.2435        | 2.0   | 210  | 0.2644          | 0.8093 |
+| 0.1538        | 3.0   | 315  | 0.2628          | 0.8342 |
 
 
 ### 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 1109860880

training_args.bin

@@ -1,3 +1,3 @@
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 size 5176