Model save

README.md

@@ -1,33 +1,15 @@
 ---
 library_name: transformers
-language:
-- en
 license: apache-2.0
 base_model: bert-base-uncased
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 - f1
 model-index:
 - name: bert-base-cased-finetuned-sst2
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE QQP
-      type: glue
-      args: qqp
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.9109077417759089
-    - name: F1
-      type: f1
-      value: 0.8798772760621624
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base-cased-finetuned-sst2
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE QQP dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3585
 - Accuracy: 0.9109
-- F1: 0.8799
 - Combined Score: 0.8954
+- F1: 0.8799
+- Loss: 0.3585
 
 ## Model description
 
@@ -69,11 +51,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Combined Score |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------------:|
-| 0.2948        | 1.0   | 22741 | 0.2470          | 0.9005   | 0.8664 | 0.8834         |
-| 0.1923        | 2.0   | 45482 | 0.2723          | 0.9049   | 0.8720 | 0.8884         |
-| 0.1339        | 3.0   | 68223 | 0.3585          | 0.9109   | 0.8799 | 0.8954         |
+| Training Loss | Epoch | Step  | Accuracy | Combined Score | F1     | Validation Loss |
+|:-------------:|:-----:|:-----:|:--------:|:--------------:|:------:|:---------------:|
+| 0.2948        | 1.0   | 22741 | 0.9005   | 0.8834         | 0.8664 | 0.2470          |
+| 0.1923        | 2.0   | 45482 | 0.9049   | 0.8884         | 0.8720 | 0.2723          |
+| 0.1339        | 3.0   | 68223 | 0.9109   | 0.8954         | 0.8799 | 0.3585          |
 
 
 ### Framework versions

config.json

@@ -23,7 +23,6 @@
   "num_hidden_layers": 12,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "problem_type": "single_label_classification",
   "torch_dtype": "float32",
   "transformers_version": "4.45.0.dev0",
   "type_vocab_size": 2,

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:caeaf3eb7de383d4ae28a7e30ab470339dac7f0ba2ab1db86c0092118f662147
+oid sha256:9d9dc3cd27fbb1a932455c9c5c4d7f4c4c01aee5587bcb8dcd6d81d1165913de
 size 5176