Model save

README.md

@@ -1,28 +1,13 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: gokulsrinivasagan/bert_tiny_lda_100_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_tiny_lda_100_v1_mnli
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE MNLI
-      type: glue
-      args: mnli
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.3295362082994304
+  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_tiny_lda_100_v1_mnli
 
-This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_100_v1](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_100_v1) on the GLUE MNLI dataset.
+This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_100_v1](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_100_v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0962
-- Accuracy: 0.3295
+- Loss: 0.8340
+- Accuracy: 0.7018
 
 ## 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
@@ -64,20 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 1.0996        | 1.0   | 1534  | 1.0993          | 0.3274   |
-| 1.0986        | 2.0   | 3068  | 1.1016          | 0.3545   |
-| 1.0987        | 3.0   | 4602  | 1.0989          | 0.3274   |
-| 1.0984        | 4.0   | 6136  | 1.1016          | 0.3182   |
-| 1.0985        | 5.0   | 7670  | 1.0989          | 0.3545   |
-| 1.0988        | 6.0   | 9204  | 1.0989          | 0.3545   |
-| 1.0985        | 7.0   | 10738 | 1.0968          | 0.3182   |
-| 1.0985        | 8.0   | 12272 | 1.0991          | 0.3182   |
-| 1.0988        | 9.0   | 13806 | 1.0962          | 0.3274   |
-| 1.0986        | 10.0  | 15340 | 1.0992          | 0.3274   |
-| 1.0986        | 11.0  | 16874 | 1.0990          | 0.3274   |
-| 1.0984        | 12.0  | 18408 | 1.0991          | 0.3182   |
-| 1.0986        | 13.0  | 19942 | 1.0965          | 0.3182   |
-| 1.0987        | 14.0  | 21476 | 1.0987          | 0.3274   |
+| 0.9642        | 1.0   | 1534  | 0.8561          | 0.6113   |
+| 0.8313        | 2.0   | 3068  | 0.7812          | 0.6520   |
+| 0.757         | 3.0   | 4602  | 0.7462          | 0.6743   |
+| 0.6957        | 4.0   | 6136  | 0.7300          | 0.6888   |
+| 0.6441        | 5.0   | 7670  | 0.7240          | 0.6961   |
+| 0.5971        | 6.0   | 9204  | 0.7375          | 0.6971   |
+| 0.5545        | 7.0   | 10738 | 0.7476          | 0.7041   |
+| 0.5132        | 8.0   | 12272 | 0.7632          | 0.7020   |
+| 0.4736        | 9.0   | 13806 | 0.8263          | 0.7010   |
+| 0.4355        | 10.0  | 15340 | 0.8340          | 0.7018   |
 
 
 ### Framework versions

logs/events.out.tfevents.1733327440.ki-g0008.1208741.34

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model.safetensors

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