Model save

README.md

@@ -1,32 +1,14 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: gokulsrinivasagan/bert_base_lda_20_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - matthews_correlation
 - accuracy
 model-index:
 - name: bert_base_lda_20_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_base_lda_20_v1_cola
 
-This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_20_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_20_v1) on the GLUE COLA dataset.
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_20_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_20_v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6189
-- Matthews Correlation: 0.0
-- Accuracy: 0.6913
+- Loss: 0.7049
+- Matthews Correlation: 0.0539
+- Accuracy: 0.6395
 
 ## 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
@@ -69,13 +51,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|:--------:|
-| 0.7571        | 1.0   | 34   | 0.6196          | 0.0                  | 0.6913   |
-| 0.613         | 2.0   | 68   | 0.6189          | 0.0                  | 0.6913   |
-| 0.6097        | 3.0   | 102  | 0.6195          | 0.0                  | 0.6913   |
-| 0.6106        | 4.0   | 136  | 0.6196          | 0.0                  | 0.6913   |
-| 0.6114        | 5.0   | 170  | 0.6195          | 0.0                  | 0.6913   |
-| 0.6094        | 6.0   | 204  | 0.6190          | 0.0                  | 0.6913   |
-| 0.6102        | 7.0   | 238  | 0.6200          | 0.0                  | 0.6913   |
+| 0.6136        | 1.0   | 34   | 0.6265          | 0.0                  | 0.6913   |
+| 0.6112        | 2.0   | 68   | 0.6199          | 0.0                  | 0.6913   |
+| 0.5873        | 3.0   | 102  | 0.6349          | 0.0699               | 0.6414   |
+| 0.5381        | 4.0   | 136  | 0.6502          | 0.1054               | 0.5964   |
+| 0.4951        | 5.0   | 170  | 0.6613          | 0.0768               | 0.6443   |
+| 0.4506        | 6.0   | 204  | 0.7529          | 0.1282               | 0.5810   |
+| 0.4248        | 7.0   | 238  | 0.7049          | 0.0539               | 0.6395   |
 
 
 ### Framework versions

logs/events.out.tfevents.1733309142.ki-g0008.1207389.0

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model.safetensors

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