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_rte
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE RTE
-      type: glue
-      args: rte
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.5270758122743683
+  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_rte
 
-This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_5_v1](https://huggingface.co/gokulsrinivasagan/distilbert_lda_5_v1) on the GLUE RTE 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: 0.6916
-- Accuracy: 0.5271
+- Loss: 1.4545
+- Accuracy: 0.5199
 
 ## 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 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.9449        | 1.0   | 10   | 0.7022          | 0.5271   |
-| 0.7042        | 2.0   | 20   | 0.7000          | 0.4729   |
-| 0.7004        | 3.0   | 30   | 0.6919          | 0.5271   |
-| 0.6962        | 4.0   | 40   | 0.6929          | 0.5271   |
-| 0.6965        | 5.0   | 50   | 0.6996          | 0.5271   |
-| 0.6965        | 6.0   | 60   | 0.6918          | 0.5271   |
-| 0.6947        | 7.0   | 70   | 0.6916          | 0.5271   |
-| 0.6949        | 8.0   | 80   | 0.6938          | 0.4729   |
-| 0.6948        | 9.0   | 90   | 0.6991          | 0.4729   |
-| 0.6957        | 10.0  | 100  | 0.6920          | 0.5271   |
-| 0.6941        | 11.0  | 110  | 0.6956          | 0.4729   |
-| 0.6944        | 12.0  | 120  | 0.6935          | 0.4729   |
+| 0.7504        | 1.0   | 10   | 0.7092          | 0.4729   |
+| 0.6796        | 2.0   | 20   | 0.7039          | 0.5162   |
+| 0.6429        | 3.0   | 30   | 0.6961          | 0.5090   |
+| 0.5697        | 4.0   | 40   | 0.7391          | 0.5415   |
+| 0.4539        | 5.0   | 50   | 0.8574          | 0.5307   |
+| 0.3105        | 6.0   | 60   | 1.0425          | 0.5523   |
+| 0.2107        | 7.0   | 70   | 1.4041          | 0.5054   |
+| 0.1354        | 8.0   | 80   | 1.4545          | 0.5199   |
 
 
 ### Framework versions

logs/events.out.tfevents.1733313281.ki-g0008.1206098.8

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