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_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_tiny_lda_100_v1_qnli
 
-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 QNLI 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: 0.6933
-- Accuracy: 0.5054
+- Loss: 0.7845
+- Accuracy: 0.7293
 
 ## 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6982        | 1.0   | 410  | 0.6933          | 0.5054   |
-| 0.6931        | 2.0   | 820  | 0.6936          | 0.4946   |
-| 0.6932        | 3.0   | 1230 | 0.6933          | 0.5054   |
-| 0.6932        | 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   |
+| 0.6638        | 1.0   | 410  | 0.6427          | 0.6251   |
+| 0.6373        | 2.0   | 820  | 0.6345          | 0.6341   |
+| 0.5861        | 3.0   | 1230 | 0.5895          | 0.6809   |
+| 0.4866        | 4.0   | 1640 | 0.5783          | 0.7276   |
+| 0.4086        | 5.0   | 2050 | 0.5973          | 0.7212   |
+| 0.3472        | 6.0   | 2460 | 0.5946          | 0.7375   |
+| 0.2941        | 7.0   | 2870 | 0.7428          | 0.7174   |
+| 0.2498        | 8.0   | 3280 | 0.6952          | 0.7382   |
+| 0.209         | 9.0   | 3690 | 0.7845          | 0.7293   |
 
 
 ### Framework versions

logs/events.out.tfevents.1733324091.ki-g0008.1208741.22

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+oid sha256:70925b76b1a850b225f0f3a1abda09e2274e5360b152003990cd8a8daa078318
+size 10251

model.safetensors

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