End of training

README.md

@@ -26,7 +26,7 @@ model-index:
       value: 0.8333333333333334
     - name: F1
       type: f1
-      value: 0.8819444444444444
+      value: 0.8851351351351352
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3575
+- Loss: 0.4648
 - Accuracy: 0.8333
-- F1: 0.8819
+- F1: 0.8851
 
 ## Model description
 
@@ -69,7 +69,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.3881        | 0.87  | 100  | 0.3575          | 0.8333   | 0.8819 |
+| 0.1708        | 0.87  | 100  | 0.4648          | 0.8333   | 0.8851 |
 
 
 ### Framework versions

config.json

@@ -9,6 +9,10 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
+  "id2label": {
+    "0": "entailment",
+    "1": "contradiction"
+  },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "layer_norm_eps": 1e-12,

pytorch_model.bin

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training_args.bin

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