dummy-model

README.md

@@ -1,10 +1,6 @@
 ---
-license: apache-2.0
-base_model: bert-base-uncased
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: bert-finetuned-sst2
   results: []
@@ -15,10 +11,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-finetuned-sst2
 
-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: 0.6547
-- Accuracy: 0.63
+This model was trained from scratch on an unknown dataset.
 
 ## Model description
 
@@ -45,15 +38,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3.0
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 13   | 0.6568          | 0.61     |
-| No log        | 2.0   | 26   | 0.6473          | 0.63     |
-| No log        | 3.0   | 39   | 0.6547          | 0.63     |
-
-
 ### Framework versions
 
 - Transformers 4.38.2

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "bert-base-uncased",
+  "_name_or_path": "saved_models/bert_sst2",
   "architectures": [
     "BertForSequenceClassification"
   ],