tool-bert

README.md

@@ -6,18 +6,18 @@ tags:
 metrics:
 - accuracy
 model-index:
-- name: test_trainer
+- name: tool-bert
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# test_trainer
+# tool-bert
 
 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: 0.0513
+- Loss: 0.0021
 - Accuracy: 1.0
 
 ## Model description
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 125  | 1.1652          | 0.7593   |
-| No log        | 2.0   | 250  | 0.1645          | 1.0      |
-| No log        | 3.0   | 375  | 0.0513          | 1.0      |
+| 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      |
 
 
 ### Framework versions

config.json

@@ -13,29 +13,15 @@
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-    "9": "LABEL_9",
-    "10": "LABEL_10"
+    "3": "LABEL_3"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
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     "LABEL_2": 2,
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   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,

model.safetensors

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training_args.bin

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