End of training

README.md

@@ -3,26 +3,11 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - matthews_correlation
 model-index:
 - name: distilbert-base-uncased-finetuned-cola
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: glue
-      type: glue
-      config: cola
-      split: validation
-      args: cola
-    metrics:
-    - name: Matthews Correlation
-      type: matthews_correlation
-      value: 0.5120519207329847
+  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-base-uncased-finetuned-cola
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6114
-- Matthews Correlation: 0.5121
+- Loss: 0.9469
+- Matthews Correlation: 0.5245
 
 ## Model description
 
@@ -52,28 +37,26 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1.6477448170002332e-05
-- train_batch_size: 32
+- learning_rate: 2.01437918768118e-05
+- train_batch_size: 4
 - eval_batch_size: 16
-- seed: 34
+- seed: 9
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| No log        | 1.0   | 268  | 0.4802          | 0.4522               |
-| 0.4583        | 2.0   | 536  | 0.5012          | 0.4811               |
-| 0.4583        | 3.0   | 804  | 0.5001          | 0.5202               |
-| 0.2539        | 4.0   | 1072 | 0.5616          | 0.5291               |
-| 0.2539        | 5.0   | 1340 | 0.6114          | 0.5121               |
+| 0.5529        | 1.0   | 2138 | 0.4856          | 0.4792               |
+| 0.4354        | 2.0   | 4276 | 0.7809          | 0.4759               |
+| 0.281         | 3.0   | 6414 | 0.9469          | 0.5245               |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
-- Pytorch 2.1.0+cu118
-- Datasets 2.15.0
-- Tokenizers 0.15.0
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2