End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Twitter/twhin-bert-base](https://huggingface.co/Twitter/twhin-bert-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5129
-- Accuracy: 0.7866
+- Loss: 0.4442
+- Accuracy: 0.8332
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 381  | 0.5129          | 0.7866   |
-| 0.5557        | 2.0   | 762  | 0.5191          | 0.7905   |
+| No log        | 1.0   | 381  | 0.4086          | 0.8267   |
+| 0.3876        | 2.0   | 762  | 0.4442          | 0.8332   |
 
 
 ### Framework versions

config.json

@@ -8,16 +8,8 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
-  "id2label": {
-    "0": "Not disaster",
-    "1": "Disaster"
-  },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
-  "label2id": {
-    "Disaster": 1,
-    "Not disaster": 0
-  },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",

pytorch_model.bin

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

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