Model save

README.md

@@ -1,32 +1,14 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: gokulsrinivasagan/bert_base_lda_100_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 - f1
 model-index:
 - name: bert_base_lda_100_v1_mrpc
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE MRPC
-      type: glue
-      args: mrpc
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.6838235294117647
-    - name: F1
-      type: f1
-      value: 0.8122270742358079
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_base_lda_100_v1_mrpc
 
-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 MRPC 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: 0.6229
-- Accuracy: 0.6838
-- F1: 0.8122
-- Combined Score: 0.7480
+- Loss: 1.0601
+- Accuracy: 0.6691
+- F1: 0.7700
+- Combined Score: 0.7196
 
 ## Model description
 
@@ -58,7 +40,7 @@ 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
@@ -70,13 +52,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Combined Score |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
-| 1.6608        | 1.0   | 15   | 0.6274          | 0.6838   | 0.8122 | 0.7480         |
-| 0.6437        | 2.0   | 30   | 0.6229          | 0.6838   | 0.8122 | 0.7480         |
-| 0.6306        | 3.0   | 45   | 0.6274          | 0.6838   | 0.8122 | 0.7480         |
-| 0.637         | 4.0   | 60   | 0.6244          | 0.6838   | 0.8122 | 0.7480         |
-| 0.6341        | 5.0   | 75   | 0.6261          | 0.6838   | 0.8122 | 0.7480         |
-| 0.6342        | 6.0   | 90   | 0.6254          | 0.6838   | 0.8122 | 0.7480         |
-| 0.6328        | 7.0   | 105  | 0.6253          | 0.6838   | 0.8122 | 0.7480         |
+| 0.6665        | 1.0   | 15   | 0.6144          | 0.6667   | 0.7606 | 0.7136         |
+| 0.594         | 2.0   | 30   | 0.5915          | 0.7059   | 0.7952 | 0.7506         |
+| 0.575         | 3.0   | 45   | 0.5799          | 0.6912   | 0.8062 | 0.7487         |
+| 0.5285        | 4.0   | 60   | 0.5993          | 0.7034   | 0.7987 | 0.7511         |
+| 0.4277        | 5.0   | 75   | 0.6557          | 0.6765   | 0.7537 | 0.7151         |
+| 0.3244        | 6.0   | 90   | 0.8220          | 0.6961   | 0.8025 | 0.7493         |
+| 0.2387        | 7.0   | 105  | 0.8552          | 0.6422   | 0.7256 | 0.6839         |
+| 0.1466        | 8.0   | 120  | 1.0601          | 0.6691   | 0.7700 | 0.7196         |
 
 
 ### Framework versions

logs/events.out.tfevents.1733309500.ki-g0008.1208741.2

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model.safetensors

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