update model card README.md

README.md

@@ -1,15 +1,10 @@
 ---
+license: apache-2.0
 tags:
 - generated_from_trainer
-- finance
-- bert
-- banking
 model-index:
 - name: TenaliAI-FinTech-v1
   results: []
-license: apache-2.0
-language:
-- en
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,9 +12,9 @@ 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: 1.1422
+- Loss: 0.0000
 
 ## Model description
 
@@ -44,15 +39,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 229  | 2.3557          |
-| No log        | 2.0   | 458  | 1.4269          |
-| 2.4536        | 3.0   | 687  | 1.1422          |
+| No log        | 1.0   | 229  | 0.0004          |
+| No log        | 2.0   | 458  | 0.0001          |
+| 0.0054        | 3.0   | 687  | 0.0001          |
+| 0.0054        | 4.0   | 916  | 0.0000          |
+| 0.0001        | 5.0   | 1145 | 0.0000          |
+| 0.0001        | 6.0   | 1374 | 0.0000          |
+| 0.0           | 7.0   | 1603 | 0.0000          |
+| 0.0           | 8.0   | 1832 | 0.0000          |
+| 0.0           | 9.0   | 2061 | 0.0000          |
+| 0.0           | 10.0  | 2290 | 0.0000          |
 
 
 ### Framework versions
@@ -60,4 +62,4 @@ The following hyperparameters were used during training:
 - Transformers 4.30.0
 - Pytorch 2.0.1
 - Datasets 2.12.0
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3