Training completed!

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8639254884143572
+      value: 0.8622217174011813
 ---
 
 <!-- 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: 0.1367
-- F1: 0.8639
+- Loss: 0.1364
+- F1: 0.8622
 
 ## Model description
 
@@ -64,14 +64,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2566        | 1.0   | 525  | 0.1594          | 0.8195 |
-| 0.1219        | 2.0   | 1050 | 0.1383          | 0.8577 |
-| 0.0786        | 3.0   | 1575 | 0.1367          | 0.8639 |
+| 0.2571        | 1.0   | 525  | 0.1657          | 0.8219 |
+| 0.1244        | 2.0   | 1050 | 0.1424          | 0.8498 |
+| 0.0813        | 3.0   | 1575 | 0.1364          | 0.8622 |
 
 
 ### Framework versions
 
-- Transformers 4.32.1
+- Transformers 4.34.1
 - Pytorch 2.0.1
 - Datasets 2.12.0
-- Tokenizers 0.13.3
+- Tokenizers 0.14.1

config.json

@@ -39,7 +39,7 @@
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.32.1",
+  "transformers_version": "4.34.1",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 250002

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2c06a722fc76b19bd030ae2988966bb34bd83362ab112d61cc33900955fcad25
+oid sha256:34806be1d70ad0080dd37f66a0237ca202f75e24711303d825bf7f19caee73e0
 size 1109902057

tokenizer.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f2c509a525eb51aebb33fb59c24ee923c1d4c1db23c3ae81fe05ccf354084f7b
-size 17082758
+oid sha256:003498ab0695fbf35aedc8bbbae1e20a6033a1b3914e49c6d2fbe1d54d7d93b9
+size 17082786

tokenizer_config.json

@@ -1,16 +1,51 @@
 {
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "250001": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
   "bos_token": "<s>",
   "clean_up_tokenization_spaces": true,
   "cls_token": "<s>",
   "eos_token": "</s>",
-  "mask_token": {
-    "__type": "AddedToken",
-    "content": "<mask>",
-    "lstrip": true,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
+  "mask_token": "<mask>",
   "model_max_length": 512,
   "pad_token": "<pad>",
   "sep_token": "</s>",

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3a67fd17a3bb8c2692408c88372458713998a3097ed336f1f97467490a0c4472
+oid sha256:90925987f5db0f4446b7705104dc24db4fadfe1bbeeec6a9c116358a39f307a3
 size 4091