End of training

README.md

@@ -1,10 +1,8 @@
 ---
 license: mit
-base_model: roberta-base-openai-detector
+base_model: sanalsprasad/ai-generated-text-classification
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: train_debug
   results: []
@@ -15,11 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # train_debug
 
-This model is a fine-tuned version of [roberta-base-openai-detector](https://huggingface.co/roberta-base-openai-detector) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.1216
-- Accuracy: 0.982
-- Roc Auc: 0.9769
+This model is a fine-tuned version of [sanalsprasad/ai-generated-text-classification](https://huggingface.co/sanalsprasad/ai-generated-text-classification) on the None dataset.
 
 ## Model description
 
@@ -46,14 +40,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Roc Auc |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|
-| 0.0743        | 1.0   | 1250 | 0.0755          | 0.988    | 0.9855  |
-| 0.0423        | 2.0   | 2500 | 0.1216          | 0.982    | 0.9769  |
-
-
 ### Framework versions
 
 - Transformers 4.35.0

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "roberta-base-openai-detector",
+  "_name_or_path": "sanalsprasad/ai-generated-text-classification",
   "architectures": [
     "RobertaForSequenceClassification"
   ],

runs/Jan19_01-50-24_8fe9ef4567b8/events.out.tfevents.1705629026.8fe9ef4567b8.26.0

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training_args.bin

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