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_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_100_v1_qnli
 
-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 QNLI 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: 0.6914
-- Accuracy: 0.5054
+- Loss: 0.7340
+- Accuracy: 0.7917
 
 ## 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
@@ -64,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7139        | 1.0   | 410  | 0.6934          | 0.4946   |
-| 0.6933        | 2.0   | 820  | 0.6934          | 0.4946   |
-| 0.6933        | 3.0   | 1230 | 0.6914          | 0.5054   |
-| 0.6931        | 4.0   | 1640 | 0.6933          | 0.5054   |
-| 0.6932        | 5.0   | 2050 | 0.6935          | 0.4946   |
-| 0.6932        | 6.0   | 2460 | 0.6933          | 0.5054   |
-| 0.6933        | 7.0   | 2870 | 0.6933          | 0.5054   |
-| 0.6934        | 8.0   | 3280 | 0.6934          | 0.4946   |
+| 0.636         | 1.0   | 410  | 0.5723          | 0.7079   |
+| 0.471         | 2.0   | 820  | 0.4177          | 0.8091   |
+| 0.3689        | 3.0   | 1230 | 0.4155          | 0.8063   |
+| 0.2829        | 4.0   | 1640 | 0.4850          | 0.7990   |
+| 0.2021        | 5.0   | 2050 | 0.5746          | 0.7889   |
+| 0.1431        | 6.0   | 2460 | 0.6877          | 0.7921   |
+| 0.1066        | 7.0   | 2870 | 0.7942          | 0.7842   |
+| 0.0827        | 8.0   | 3280 | 0.7340          | 0.7917   |
 
 
 ### Framework versions

logs/events.out.tfevents.1733309783.ki-g0008.1208741.4

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+size 9719

model.safetensors

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 size 437953248