Model save

README.md

@@ -1,28 +1,13 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: gokulsrinivasagan/bert_base_lda_100_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_base_lda_100_v1_wnli
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE WNLI
-      type: glue
-      args: wnli
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.5633802816901409
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_base_lda_100_v1_wnli
 
-This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_100_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_100_v1) on the GLUE WNLI dataset.
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_100_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_100_v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6856
-- Accuracy: 0.5634
+- Loss: 0.6992
+- Accuracy: 0.4789
 
 ## Model description
 
@@ -52,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.001
+- learning_rate: 5e-05
 - train_batch_size: 256
 - eval_batch_size: 256
 - seed: 10
@@ -64,21 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.9555        | 1.0   | 3    | 1.7839          | 0.5634   |
-| 1.287         | 2.0   | 6    | 1.9711          | 0.5634   |
-| 1.9411        | 3.0   | 9    | 0.7586          | 0.5634   |
-| 0.8928        | 4.0   | 12   | 0.9855          | 0.4366   |
-| 0.8147        | 5.0   | 15   | 0.7992          | 0.5634   |
-| 0.8064        | 6.0   | 18   | 0.6987          | 0.4366   |
-| 0.7033        | 7.0   | 21   | 0.6914          | 0.5634   |
-| 0.7235        | 8.0   | 24   | 0.6867          | 0.5634   |
-| 0.701         | 9.0   | 27   | 0.7205          | 0.4366   |
-| 0.6954        | 10.0  | 30   | 0.6856          | 0.5634   |
-| 0.6999        | 11.0  | 33   | 0.6916          | 0.5634   |
-| 0.7008        | 12.0  | 36   | 0.7042          | 0.4366   |
-| 0.6948        | 13.0  | 39   | 0.6856          | 0.5634   |
-| 0.6948        | 14.0  | 42   | 0.6864          | 0.5634   |
-| 0.6946        | 15.0  | 45   | 0.6907          | 0.5634   |
+| 0.8315        | 1.0   | 3    | 0.8521          | 0.4366   |
+| 0.7469        | 2.0   | 6    | 0.6964          | 0.5634   |
+| 0.7109        | 3.0   | 9    | 0.7104          | 0.4648   |
+| 0.707         | 4.0   | 12   | 0.6995          | 0.4930   |
+| 0.7035        | 5.0   | 15   | 0.6905          | 0.5634   |
+| 0.6961        | 6.0   | 18   | 0.7092          | 0.4648   |
+| 0.6981        | 7.0   | 21   | 0.6949          | 0.5211   |
+| 0.692         | 8.0   | 24   | 0.7024          | 0.3944   |
+| 0.6974        | 9.0   | 27   | 0.7059          | 0.4085   |
+| 0.685         | 10.0  | 30   | 0.6992          | 0.4789   |
 
 
 ### Framework versions

logs/events.out.tfevents.1733317775.ki-g0008.1208741.14

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