End of training

README.md

@@ -1,7 +1,5 @@
 ---
 library_name: transformers
-license: apache-2.0
-base_model: bert-base-uncased
 tags:
 - generated_from_trainer
 model-index:
@@ -14,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # TenaliAI-FinTech-v1
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1036
+- Loss: 0.1268
 
 ## Model description
 
@@ -47,16 +45,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 5    | 3.7387          |
-| No log        | 2.0   | 10   | 2.9893          |
-| No log        | 3.0   | 15   | 2.2801          |
-| No log        | 4.0   | 20   | 1.5800          |
-| No log        | 5.0   | 25   | 1.0965          |
-| No log        | 6.0   | 30   | 0.6867          |
-| No log        | 7.0   | 35   | 0.4281          |
-| No log        | 8.0   | 40   | 0.2627          |
-| No log        | 9.0   | 45   | 0.1625          |
-| No log        | 10.0  | 50   | 0.1036          |
+| 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          |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "bert-base-uncased",
+  "_name_or_path": "TenaliAIModels/BertBaseModel",
   "architectures": [
     "BertForSequenceClassification"
   ],

model.safetensors

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+oid sha256:d271e5495bed08e206556d1f39fd1764f1273997e5948c1433895720927b29b2
 size 438260096

runs/Oct03_13-44-19_credentek-Desktop/events.out.tfevents.1727943260.credentek-Desktop.18050.0

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+size 12819

runs/Oct03_13-44-19_credentek-Desktop/events.out.tfevents.1727943280.credentek-Desktop.18050.1

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special_tokens_map.json

@@ -1,7 +1,37 @@
 {
-  "cls_token": "[CLS]",
-  "mask_token": "[MASK]",
-  "pad_token": "[PAD]",
-  "sep_token": "[SEP]",
-  "unk_token": "[UNK]"
+  "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
+  }
 }

training_args.bin

@@ -1,3 +1,3 @@
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 size 5304