Model save

README.md

@@ -1,28 +1,13 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: gokulsrinivasagan/bert_base_lda_5_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_base_lda_5_v1_rte
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE RTE
-      type: glue
-      args: rte
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.5270758122743683
+  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_5_v1_rte
 
-This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1) on the GLUE RTE dataset.
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6918
-- Accuracy: 0.5271
+- Loss: 1.6369
+- Accuracy: 0.5451
 
 ## 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
@@ -64,22 +49,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.0506        | 1.0   | 10   | 0.7787          | 0.5271   |
-| 0.7306        | 2.0   | 20   | 0.8054          | 0.4729   |
-| 0.7253        | 3.0   | 30   | 0.6984          | 0.5235   |
-| 0.7014        | 4.0   | 40   | 0.6923          | 0.5271   |
-| 0.7016        | 5.0   | 50   | 0.7043          | 0.5199   |
-| 0.6998        | 6.0   | 60   | 0.6968          | 0.4729   |
-| 0.6943        | 7.0   | 70   | 0.6938          | 0.5199   |
-| 0.6937        | 8.0   | 80   | 0.6958          | 0.4729   |
-| 0.6962        | 9.0   | 90   | 0.6922          | 0.4801   |
-| 0.6955        | 10.0  | 100  | 0.6963          | 0.4729   |
-| 0.6948        | 11.0  | 110  | 0.6918          | 0.5271   |
-| 0.6931        | 12.0  | 120  | 0.6938          | 0.5199   |
-| 0.6932        | 13.0  | 130  | 0.6948          | 0.4729   |
-| 0.6934        | 14.0  | 140  | 0.6922          | 0.4729   |
-| 0.6933        | 15.0  | 150  | 0.6936          | 0.4729   |
-| 0.6933        | 16.0  | 160  | 0.6943          | 0.5199   |
+| 0.7078        | 1.0   | 10   | 0.6900          | 0.5379   |
+| 0.6627        | 2.0   | 20   | 0.6868          | 0.5451   |
+| 0.5816        | 3.0   | 30   | 0.7390          | 0.5415   |
+| 0.4535        | 4.0   | 40   | 0.8692          | 0.5451   |
+| 0.3048        | 5.0   | 50   | 1.0894          | 0.5235   |
+| 0.1715        | 6.0   | 60   | 1.3816          | 0.5126   |
+| 0.0964        | 7.0   | 70   | 1.6369          | 0.5451   |
 
 
 ### Framework versions

logs/events.out.tfevents.1733315569.ki-g0008.1206925.8

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+size 9092

model.safetensors

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