End of training

README.md

@@ -1,5 +1,7 @@
 ---
 library_name: transformers
+license: apache-2.0
+base_model: bert-base-uncased
 tags:
 - generated_from_trainer
 model-index:
@@ -12,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # TenaliAI-FinTech-v1
 
-This model was trained from scratch on an unknown dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1268
+- Loss: 1.2978
 
 ## Model description
 
@@ -45,16 +47,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 5    | 3.3202          |
-| No log        | 2.0   | 10   | 2.5692          |
-| No log        | 3.0   | 15   | 1.9134          |
-| No log        | 4.0   | 20   | 1.4201          |
-| No log        | 5.0   | 25   | 1.0033          |
-| No log        | 6.0   | 30   | 0.6681          |
-| No log        | 7.0   | 35   | 0.4507          |
-| No log        | 8.0   | 40   | 0.2975          |
-| No log        | 9.0   | 45   | 0.1944          |
-| No log        | 10.0  | 50   | 0.1268          |
+| No log        | 1.0   | 5    | 3.8769          |
+| No log        | 2.0   | 10   | 3.5817          |
+| No log        | 3.0   | 15   | 3.2482          |
+| No log        | 4.0   | 20   | 2.8755          |
+| No log        | 5.0   | 25   | 2.5660          |
+| No log        | 6.0   | 30   | 2.2026          |
+| No log        | 7.0   | 35   | 1.9680          |
+| No log        | 8.0   | 40   | 1.6814          |
+| No log        | 9.0   | 45   | 1.4904          |
+| No log        | 10.0  | 50   | 1.2978          |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "TenaliAIModels/BertBaseModel",
+  "_name_or_path": "bert-base-uncased",
   "architectures": [
     "BertForSequenceClassification"
   ],
@@ -11,9 +11,9 @@
   "hidden_size": 768,
   "id2label": {
     "0": "fd_create",
-    "1": "zzzLABEL_1",
-    "2": "zzzLABEL_2",
-    "3": "zzzLABEL_3",
+    "1": "fd_create_hi",
+    "2": "fd_create_kn",
+    "3": "fd_create_mr",
     "4": "zzzLABEL_4",
     "5": "zzzLABEL_5",
     "6": "zzzLABEL_6",
@@ -115,7 +115,9 @@
   "intermediate_size": 3072,
   "label2id": {
     "fd_create": 0,
-    "zzzLABEL_1": 1,
+    "fd_create_hi": 1,
+    "fd_create_kn": 2,
+    "fd_create_mr": 3,
     "zzzLABEL_10": 10,
     "zzzLABEL_11": 11,
     "zzzLABEL_12": 12,
@@ -126,7 +128,6 @@
     "zzzLABEL_17": 17,
     "zzzLABEL_18": 18,
     "zzzLABEL_19": 19,
-    "zzzLABEL_2": 2,
     "zzzLABEL_20": 20,
     "zzzLABEL_21": 21,
     "zzzLABEL_22": 22,
@@ -137,7 +138,6 @@
     "zzzLABEL_27": 27,
     "zzzLABEL_28": 28,
     "zzzLABEL_29": 29,
-    "zzzLABEL_3": 3,
     "zzzLABEL_30": 30,
     "zzzLABEL_31": 31,
     "zzzLABEL_32": 32,

label_encoder.joblib

@@ -1,3 +1,3 @@
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+size 519

model.safetensors

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 size 438260096

runs/Oct03_13-50-38_credentek-Desktop/events.out.tfevents.1727943638.credentek-Desktop.19145.0

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runs/Oct03_13-50-38_credentek-Desktop/events.out.tfevents.1727943659.credentek-Desktop.19145.1

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special_tokens_map.json

@@ -1,37 +1,7 @@
 {
-  "cls_token": {
-    "content": "[CLS]",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "mask_token": {
-    "content": "[MASK]",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "pad_token": {
-    "content": "[PAD]",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "sep_token": {
-    "content": "[SEP]",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "unk_token": {
-    "content": "[UNK]",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  }
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
 }

training_args.bin

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