End of training

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.9168
+- Loss: 4.6439
 - Accuracy: 0.0
 
 ## Model description
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.7871        | 1.0   | 46   | 4.8124          | 0.0      |
-| 4.7669        | 2.0   | 92   | 4.8653          | 0.0      |
-| 4.7888        | 3.0   | 138  | 4.8858          | 0.0      |
-| 4.7498        | 4.0   | 184  | 4.8981          | 0.0      |
-| 4.7449        | 5.0   | 230  | 4.8945          | 0.0      |
-| 4.7261        | 6.0   | 276  | 4.9050          | 0.0      |
-| 4.7295        | 7.0   | 322  | 4.9148          | 0.0      |
-| 4.7181        | 8.0   | 368  | 4.9166          | 0.0      |
-| 4.7094        | 9.0   | 414  | 4.9146          | 0.0      |
-| 4.7064        | 10.0  | 460  | 4.9168          | 0.0      |
+| 4.4693        | 1.0   | 33   | 4.4433          | 0.0      |
+| 4.4849        | 2.0   | 66   | 4.5026          | 0.0      |
+| 4.4433        | 3.0   | 99   | 4.5717          | 0.0      |
+| 4.4234        | 4.0   | 132  | 4.5887          | 0.0      |
+| 4.4015        | 5.0   | 165  | 4.6163          | 0.0      |
+| 4.3956        | 6.0   | 198  | 4.6046          | 0.0      |
+| 4.3878        | 7.0   | 231  | 4.6354          | 0.0      |
+| 4.3759        | 8.0   | 264  | 4.6372          | 0.0      |
+| 4.3787        | 9.0   | 297  | 4.6405          | 0.0      |
+| 4.3678        | 10.0  | 330  | 4.6439          | 0.0      |
 
 
 ### Framework versions

config.json

@@ -89,59 +89,14 @@
     "77": "LABEL_77",
     "78": "LABEL_78",
     "79": "LABEL_79",
-    "80": "LABEL_80",
-    "81": "LABEL_81",
-    "82": "LABEL_82",
-    "83": "LABEL_83",
-    "84": "LABEL_84",
-    "85": "LABEL_85",
-    "86": "LABEL_86",
-    "87": "LABEL_87",
-    "88": "LABEL_88",
-    "89": "LABEL_89",
-    "90": "LABEL_90",
-    "91": "LABEL_91",
-    "92": "LABEL_92",
-    "93": "LABEL_93",
-    "94": "LABEL_94",
-    "95": "LABEL_95",
-    "96": "LABEL_96",
-    "97": "LABEL_97",
-    "98": "LABEL_98",
-    "99": "LABEL_99",
-    "100": "LABEL_100",
-    "101": "LABEL_101",
-    "102": "LABEL_102",
-    "103": "LABEL_103",
-    "104": "LABEL_104",
-    "105": "LABEL_105",
-    "106": "LABEL_106",
-    "107": "LABEL_107",
-    "108": "LABEL_108",
-    "109": "LABEL_109",
-    "110": "LABEL_110",
-    "111": "LABEL_111",
-    "112": "LABEL_112"
+    "80": "LABEL_80"
   },
   "initializer_range": 0.02,
   "label2id": {
     "LABEL_0": 0,
     "LABEL_1": 1,
     "LABEL_10": 10,
-    "LABEL_100": 100,
-    "LABEL_101": 101,
-    "LABEL_102": 102,
-    "LABEL_103": 103,
-    "LABEL_104": 104,
-    "LABEL_105": 105,
-    "LABEL_106": 106,
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-    "LABEL_108": 108,
-    "LABEL_109": 109,
     "LABEL_11": 11,
-    "LABEL_110": 110,
-    "LABEL_111": 111,
-    "LABEL_112": 112,
     "LABEL_12": 12,
     "LABEL_13": 13,
     "LABEL_14": 14,
@@ -218,26 +173,7 @@
     "LABEL_79": 79,
     "LABEL_8": 8,
     "LABEL_80": 80,
-    "LABEL_81": 81,
-    "LABEL_82": 82,
-    "LABEL_83": 83,
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-    "LABEL_85": 85,
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-    "LABEL_88": 88,
-    "LABEL_89": 89,
-    "LABEL_9": 9,
-    "LABEL_90": 90,
-    "LABEL_91": 91,
-    "LABEL_92": 92,
-    "LABEL_93": 93,
-    "LABEL_94": 94,
-    "LABEL_95": 95,
-    "LABEL_96": 96,
-    "LABEL_97": 97,
-    "LABEL_98": 98,
-    "LABEL_99": 99
+    "LABEL_9": 9
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",

model.safetensors

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runs/Feb26_08-25-13_4bf9424f0cf5/events.out.tfevents.1708935914.4bf9424f0cf5.4637.1

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training_args.bin

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