add model

README.md

@@ -17,7 +17,7 @@ model_index:
     metric:
       name: Accuracy
       type: accuracy
-      value: 0.9328380888063481
+      value: 0.95951375991896
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,11 +27,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2384
-- Precision: 0.6528
-- Recall: 0.6863
-- F1: 0.6691
-- Accuracy: 0.9328
+- Loss: 0.1422
+- Precision: 0.7886
+- Recall: 0.8150
+- F1: 0.8016
+- Accuracy: 0.9595
 
 ## Model description
 
@@ -56,13 +56,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 207  | 0.2384          | 0.6528    | 0.6863 | 0.6691 | 0.9328   |
+| No log        | 1.0   | 207  | 0.2017          | 0.7113    | 0.7389 | 0.7249 | 0.9419   |
+| No log        | 2.0   | 414  | 0.1594          | 0.7272    | 0.7787 | 0.7521 | 0.9510   |
+| 0.233         | 3.0   | 621  | 0.1476          | 0.7576    | 0.8020 | 0.7792 | 0.9560   |
+| 0.233         | 4.0   | 828  | 0.1471          | 0.7782    | 0.8130 | 0.7952 | 0.9582   |
+| 0.0888        | 5.0   | 1035 | 0.1422          | 0.7886    | 0.8150 | 0.8016 | 0.9595   |
 
 
 ### Framework versions

config.json

@@ -23,16 +23,16 @@
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
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-    "B-loc": 5,
-    "B-misc": 7,
-    "B-org": 3,
-    "B-per": 1,
-    "I-loc": 6,
-    "I-misc": 8,
-    "I-org": 4,
-    "I-per": 2,
-    "O": 0
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6,
+    "LABEL_7": 7,
+    "LABEL_8": 8,
+    "LABEL_9": 9
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,

pytorch_model.bin

@@ -1,3 +1,3 @@
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training_args.bin

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