Model save

README.md

@@ -1,29 +1,14 @@
 ---
 library_name: transformers
-language:
-- en
 license: apache-2.0
 base_model: bert-base-uncased
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 model-index:
 - name: bert-base-uncased-finetuned-sst2
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE SST2
-      type: glue
-      args: sst2
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.926605504587156
+  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-finetuned-sst2
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE SST2 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: 0.3198
 - Accuracy: 0.9266
+- Loss: 0.3198
 
 ## Model description
 
@@ -63,11 +48,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.221         | 1.0   | 4210  | 0.2489          | 0.9255   |
-| 0.1201        | 2.0   | 8420  | 0.2933          | 0.9140   |
-| 0.0746        | 3.0   | 12630 | 0.3198          | 0.9266   |
+| Training Loss | Epoch | Step  | Accuracy | Validation Loss |
+|:-------------:|:-----:|:-----:|:--------:|:---------------:|
+| 0.221         | 1.0   | 4210  | 0.9255   | 0.2489          |
+| 0.1201        | 2.0   | 8420  | 0.9140   | 0.2933          |
+| 0.0746        | 3.0   | 12630 | 0.9266   | 0.3198          |
 
 
 ### 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
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+oid sha256:f185b5be68619b93d77a0300b224be879a694228dd6e42734f48a1a0c708cff4
 size 5176