Model save

README.md

@@ -1,28 +1,13 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: gokulsrinivasagan/distilbert_lda_50_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 model-index:
 - name: distilbert_lda_50_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. -->
 
 # distilbert_lda_50_v1_qnli
 
-This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_50_v1](https://huggingface.co/gokulsrinivasagan/distilbert_lda_50_v1) on the GLUE QNLI dataset.
+This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_50_v1](https://huggingface.co/gokulsrinivasagan/distilbert_lda_50_v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6933
-- Accuracy: 0.5054
+- Loss: 0.6988
+- Accuracy: 0.7974
 
 ## 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 +49,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7249        | 1.0   | 410  | 0.6933          | 0.5054   |
-| 0.6932        | 2.0   | 820  | 0.6933          | 0.5054   |
-| 0.6933        | 3.0   | 1230 | 0.6933          | 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   |
+| 0.5532        | 1.0   | 410  | 0.5177          | 0.7628   |
+| 0.4263        | 2.0   | 820  | 0.4075          | 0.8212   |
+| 0.3371        | 3.0   | 1230 | 0.4169          | 0.8133   |
+| 0.2505        | 4.0   | 1640 | 0.4766          | 0.8116   |
+| 0.18          | 5.0   | 2050 | 0.6080          | 0.7941   |
+| 0.1275        | 6.0   | 2460 | 0.6769          | 0.8120   |
+| 0.0953        | 7.0   | 2870 | 0.6988          | 0.7974   |
 
 
 ### Framework versions

logs/events.out.tfevents.1733309518.ki-g0008.1206436.4

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model.safetensors

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