Model save

README.md

@@ -1,32 +1,14 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: gokulsrinivasagan/bert_tiny_lda_100_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - matthews_correlation
 - accuracy
 model-index:
 - name: bert_tiny_lda_100_v1_cola
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE COLA
-      type: glue
-      args: cola
-    metrics:
-    - name: Matthews Correlation
-      type: matthews_correlation
-      value: 0.0
-    - name: Accuracy
-      type: accuracy
-      value: 0.6912751793861389
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_tiny_lda_100_v1_cola
 
-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 COLA 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: 0.6176
-- Matthews Correlation: 0.0
-- Accuracy: 0.6913
+- Loss: 0.7735
+- Matthews Correlation: 0.0681
+- Accuracy: 0.6405
 
 ## Model description
 
@@ -57,7 +39,7 @@ 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
@@ -69,12 +51,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|:--------:|
-| 0.6471        | 1.0   | 34   | 0.6176          | 0.0                  | 0.6913   |
-| 0.6111        | 2.0   | 68   | 0.6192          | 0.0                  | 0.6913   |
-| 0.6095        | 3.0   | 102  | 0.6203          | 0.0                  | 0.6913   |
-| 0.6095        | 4.0   | 136  | 0.6188          | 0.0                  | 0.6913   |
-| 0.6097        | 5.0   | 170  | 0.6190          | 0.0                  | 0.6913   |
-| 0.6092        | 6.0   | 204  | 0.6189          | 0.0                  | 0.6913   |
+| 0.6154        | 1.0   | 34   | 0.6166          | 0.0                  | 0.6913   |
+| 0.6048        | 2.0   | 68   | 0.6133          | 0.0                  | 0.6913   |
+| 0.5957        | 3.0   | 102  | 0.6106          | 0.0738               | 0.6942   |
+| 0.5772        | 4.0   | 136  | 0.6261          | 0.0274               | 0.6903   |
+| 0.5353        | 5.0   | 170  | 0.6314          | 0.1252               | 0.6692   |
+| 0.496         | 6.0   | 204  | 0.6528          | 0.0916               | 0.6261   |
+| 0.4518        | 7.0   | 238  | 0.6883          | 0.0837               | 0.6251   |
+| 0.4203        | 8.0   | 272  | 0.7735          | 0.0681               | 0.6405   |
 
 
 ### Framework versions

logs/events.out.tfevents.1733323918.ki-g0008.1208741.18

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model.safetensors

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