Model save

README.md

@@ -1,28 +1,13 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: gokulsrinivasagan/bert_base_lda_20_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_base_lda_20_v1_qnli
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE QNLI
-      type: glue
-      args: qnli
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.5053999633900788
+  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_20_v1_qnli
 
-This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_20_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_20_v1) on the GLUE QNLI dataset.
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_20_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_20_v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6933
-- Accuracy: 0.5054
+- Loss: 0.9915
+- Accuracy: 0.7066
 
 ## 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
@@ -64,12 +49,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7463        | 1.0   | 410  | 0.6933          | 0.5054   |
-| 0.6932        | 2.0   | 820  | 0.6933          | 0.5054   |
-| 0.6932        | 3.0   | 1230 | 0.6933          | 0.5054   |
-| 0.6931        | 4.0   | 1640 | 0.6933          | 0.5054   |
-| 0.6931        | 5.0   | 2050 | 0.6935          | 0.4946   |
-| 0.6932        | 6.0   | 2460 | 0.6933          | 0.5054   |
+| 0.6969        | 1.0   | 410  | 0.7003          | 0.4946   |
+| 0.6528        | 2.0   | 820  | 0.6001          | 0.6769   |
+| 0.5423        | 3.0   | 1230 | 0.5868          | 0.6800   |
+| 0.4379        | 4.0   | 1640 | 0.5702          | 0.7230   |
+| 0.354         | 5.0   | 2050 | 0.6331          | 0.7183   |
+| 0.2797        | 6.0   | 2460 | 0.7638          | 0.7091   |
+| 0.2193        | 7.0   | 2870 | 0.8051          | 0.7058   |
+| 0.1732        | 8.0   | 3280 | 0.8758          | 0.7190   |
+| 0.1391        | 9.0   | 3690 | 0.9915          | 0.7066   |
 
 
 ### Framework versions

logs/events.out.tfevents.1733309676.ki-g0008.1207389.4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1071690b98017ff341c89623ed80a289212a551d1c1f529d83091003512aec54
-size 9359
+oid sha256:fcfac268b9014fb9c697bb242fdee7cdce306a258906d75ac37ff00ec4edf6c7
+size 10247

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5840249f1a638257b18cb2635d3e139cafc68283d265686a542ed76f467f6392
+oid sha256:64ff329a92d49e192df421b4412fd7c3098d5a16712eb4d9ef51232cf662f724
 size 437953248