Model save

README.md

@@ -1,29 +1,14 @@
 ---
 library_name: transformers
-language:
-- en
 license: apache-2.0
 base_model: google-bert/bert-base-uncased
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 model-index:
 - name: bert-base-uncased_mnli
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE MNLI
-      type: glue
-      args: mnli
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.3522172497965826
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base-uncased_mnli
 
-This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the GLUE MNLI dataset.
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0983
-- Accuracy: 0.3522
+- Loss: 0.7138
+- Accuracy: 0.8342
 
 ## Model description
 
@@ -53,7 +38,7 @@ 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
@@ -65,13 +50,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 1.1036        | 1.0   | 1534  | 1.0991          | 0.3182   |
-| 1.0991        | 2.0   | 3068  | 1.0982          | 0.3545   |
-| 1.0989        | 3.0   | 4602  | 1.0990          | 0.3274   |
-| 1.099         | 4.0   | 6136  | 1.1011          | 0.3545   |
-| 1.099         | 5.0   | 7670  | 1.0987          | 0.3545   |
-| 1.0989        | 6.0   | 9204  | 1.0997          | 0.3182   |
-| 1.0989        | 7.0   | 10738 | 1.1001          | 0.3182   |
+| 0.5389        | 1.0   | 1534  | 0.4533          | 0.8247   |
+| 0.3569        | 2.0   | 3068  | 0.4376          | 0.8365   |
+| 0.2471        | 3.0   | 4602  | 0.4777          | 0.8365   |
+| 0.1699        | 4.0   | 6136  | 0.5418          | 0.8380   |
+| 0.1239        | 5.0   | 7670  | 0.6041          | 0.8287   |
+| 0.095         | 6.0   | 9204  | 0.6809          | 0.8275   |
+| 0.0784        | 7.0   | 10738 | 0.7138          | 0.8342   |
 
 
 ### Framework versions

logs/events.out.tfevents.1733338259.ki-g0008.1759256.16

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+size 9352

model.safetensors

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