tool-bert

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0021
-- Accuracy: 1.0
+- Loss: 0.0158
+- Accuracy: 0.9886
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 63   | 0.0118          | 1.0      |
-| No log        | 2.0   | 126  | 0.0026          | 1.0      |
-| No log        | 3.0   | 189  | 0.0021          | 1.0      |
+| No log        | 1.0   | 64   | 0.1104          | 0.9830   |
+| No log        | 2.0   | 128  | 0.0222          | 0.9886   |
+| No log        | 3.0   | 192  | 0.0158          | 0.9886   |
 
 
 ### Framework versions

config.json

@@ -13,7 +13,8 @@
     "0": "LABEL_0",
     "1": "LABEL_1",
     "2": "LABEL_2",
-    "3": "LABEL_3"
+    "3": "LABEL_3",
+    "4": "LABEL_4"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
@@ -21,7 +22,8 @@
     "LABEL_0": 0,
     "LABEL_1": 1,
     "LABEL_2": 2,
-    "LABEL_3": 3
+    "LABEL_3": 3,
+    "LABEL_4": 4
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,

model.safetensors

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

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