Training completed!

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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1717
-- F1: 0.8580
+- Loss: 0.2306
+- F1: 0.8471
 
 ## Model description
 
@@ -47,10 +47,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2836        | 1.0   | 3145 | 0.2019          | 0.8254 |
-| 0.1444        | 2.0   | 6290 | 0.1717          | 0.8580 |
+| Training Loss | Epoch | Step  | Validation Loss | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.3727        | 1.0   | 5005  | 0.2324          | 0.8132 |
+| 0.1858        | 2.0   | 10010 | 0.2306          | 0.8471 |
 
 
 ### 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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:84e49aa630da6a49024a8921696a29f885e8af29f8522907bd3dcb07a2f8ed5e
-size 1109902502
+oid sha256:e32d0fb47efe20cd0b07f691190c88c661c929aa3a8fcd379d61c65830dc4435
+size 1109905574

tokenizer.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:62c24cdc13d4c9952d63718d6c9fa4c287974249e16b7ade6d5a85e7bbb75626
-size 17082660
+oid sha256:f2c509a525eb51aebb33fb59c24ee923c1d4c1db23c3ae81fe05ccf354084f7b
+size 17082758

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bb56cf0929bd73a6335f85a9cff2c65e3cf5c3004a671daeba3604d21cea800e
+oid sha256:d6456954341c15bd74840a6b2009f4470f162d6101c7bbe2b7559bdc0b363d3b
 size 4536