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: try
-  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: 0.5469892544665611
+  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. -->
 
 # try
 
-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: 0.7595
-- Matthews Correlation: 0.5470
+- Loss: 0.8553
+- Matthews Correlation: 0.5332
 
 ## Model description
 
@@ -64,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| 0.5165        | 1.0   | 535  | 0.4557          | 0.4389               |
-| 0.34          | 2.0   | 1070 | 0.4728          | 0.5038               |
-| 0.2325        | 3.0   | 1605 | 0.6235          | 0.5159               |
-| 0.1636        | 4.0   | 2140 | 0.7595          | 0.5470               |
-| 0.1206        | 5.0   | 2675 | 0.8536          | 0.5356               |
+| 0.5175        | 1.0   | 535  | 0.4515          | 0.4511               |
+| 0.3429        | 2.0   | 1070 | 0.4648          | 0.5162               |
+| 0.2373        | 3.0   | 1605 | 0.6564          | 0.5173               |
+| 0.1631        | 4.0   | 2140 | 0.7276          | 0.5265               |
+| 0.122         | 5.0   | 2675 | 0.8553          | 0.5332               |
 
 
 ### Framework versions
 
 - Transformers 4.36.2
 - Pytorch 2.1.0+cu121
-- Datasets 2.15.0
+- Datasets 2.16.0
 - Tokenizers 0.15.0

model.safetensors

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