Model save

README.md

@@ -1,28 +1,13 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: gokulsrinivasagan/distilbert_lda_5_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 model-index:
 - name: distilbert_lda_5_v1_wnli
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE WNLI
-      type: glue
-      args: wnli
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.5633802816901409
+  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_5_v1_wnli
 
-This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_5_v1](https://huggingface.co/gokulsrinivasagan/distilbert_lda_5_v1) on the GLUE WNLI dataset.
+This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_5_v1](https://huggingface.co/gokulsrinivasagan/distilbert_lda_5_v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6853
-- Accuracy: 0.5634
+- Loss: 0.8085
+- Accuracy: 0.2113
 
 ## 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
@@ -64,18 +49,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.0804        | 1.0   | 3    | 1.5935          | 0.5634   |
-| 1.4159        | 2.0   | 6    | 1.3485          | 0.4366   |
-| 0.9801        | 3.0   | 9    | 0.8126          | 0.4366   |
-| 0.8215        | 4.0   | 12   | 0.7313          | 0.4366   |
-| 0.7206        | 5.0   | 15   | 0.6869          | 0.5634   |
-| 0.7118        | 6.0   | 18   | 0.6953          | 0.4366   |
-| 0.7245        | 7.0   | 21   | 0.6853          | 0.5634   |
-| 0.8215        | 8.0   | 24   | 0.8461          | 0.4366   |
-| 0.8608        | 9.0   | 27   | 0.8203          | 0.5634   |
-| 0.8305        | 10.0  | 30   | 0.9018          | 0.4366   |
-| 0.7692        | 11.0  | 33   | 0.6874          | 0.5634   |
-| 0.7142        | 12.0  | 36   | 0.6853          | 0.5634   |
+| 0.7316        | 1.0   | 3    | 0.7449          | 0.3099   |
+| 0.7137        | 2.0   | 6    | 0.7299          | 0.4507   |
+| 0.7026        | 3.0   | 9    | 0.7607          | 0.2958   |
+| 0.6937        | 4.0   | 12   | 0.7552          | 0.4930   |
+| 0.7014        | 5.0   | 15   | 0.7826          | 0.2113   |
+| 0.6909        | 6.0   | 18   | 0.8129          | 0.2394   |
+| 0.6894        | 7.0   | 21   | 0.8085          | 0.2113   |
 
 
 ### Framework versions

logs/events.out.tfevents.1733313964.ki-g0008.1206098.14

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