End of training

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4446
-- Accuracy: 0.8262
-- F1: 0.8219
+- Loss: 0.4455
+- Accuracy: 0.8216
+- F1: 0.8165
 
 ## Model description
 
@@ -52,9 +52,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.4209        | 1.0   | 667  | 0.4367          | 0.8306   | 0.8269 |
-| 0.5695        | 2.0   | 1334 | 0.5604          | 0.8087   | 0.8093 |
-| 0.3804        | 3.0   | 2001 | 0.6302          | 0.8301   | 0.8294 |
+| 0.4224        | 1.0   | 667  | 0.4366          | 0.8227   | 0.8185 |
+| 0.4812        | 2.0   | 1334 | 0.4761          | 0.8279   | 0.8271 |
+| 0.4211        | 3.0   | 2001 | 0.6285          | 0.8253   | 0.8248 |
 
 
 ### Framework versions

config.json

@@ -10,10 +10,6 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
-  "id2label": {
-    "0": "Non-Disaster",
-    "1": "Disaster"
-  },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "layer_norm_eps": 1e-05,

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