End of training

README.md

@@ -20,11 +20,11 @@ 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: 2.1612
-- Accuracy: 0.1
-- Recall: 0.1
-- Precision: 0.1
-- F1: 0.1000
+- Loss: 1.8885
+- Accuracy: 0.4
+- Recall: 0.4
+- Precision: 0.4
+- F1: 0.4000
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| No log        | 1.0   | 2    | 2.2430          | 0.2      | 0.2    | 0.2       | 0.2000 |
-| No log        | 2.0   | 4    | 2.1679          | 0.1      | 0.1    | 0.1       | 0.1000 |
-| No log        | 3.0   | 6    | 2.1612          | 0.1      | 0.1    | 0.1       | 0.1000 |
+| No log        | 1.0   | 2    | 1.9131          | 0.4      | 0.4    | 0.4       | 0.4000 |
+| No log        | 2.0   | 4    | 1.8854          | 0.4      | 0.4    | 0.4       | 0.4000 |
+| No log        | 3.0   | 6    | 1.8885          | 0.4      | 0.4    | 0.4       | 0.4000 |
 
 
 ### Framework versions

config.json

@@ -10,28 +10,28 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
+    "0": "LABEL_1",
+    "1": "LABEL_1.5",
     "2": "LABEL_2",
-    "3": "LABEL_3",
-    "4": "LABEL_4",
-    "5": "LABEL_5",
-    "6": "LABEL_6",
-    "7": "LABEL_7",
-    "8": "LABEL_8"
+    "3": "LABEL_2.5",
+    "4": "LABEL_3",
+    "5": "LABEL_3.5",
+    "6": "LABEL_4",
+    "7": "LABEL_4.5",
+    "8": "LABEL_5"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
+    "LABEL_1": 0,
+    "LABEL_1.5": 1,
     "LABEL_2": 2,
-    "LABEL_3": 3,
-    "LABEL_4": 4,
-    "LABEL_5": 5,
-    "LABEL_6": 6,
-    "LABEL_7": 7,
-    "LABEL_8": 8
+    "LABEL_2.5": 3,
+    "LABEL_3": 4,
+    "LABEL_3.5": 5,
+    "LABEL_4": 6,
+    "LABEL_4.5": 7,
+    "LABEL_5": 8
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,

model.safetensors

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runs/Apr12_03-42-16_ef2d26d680b9/events.out.tfevents.1712893370.ef2d26d680b9.35.6

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training_args.bin

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