End of training

README.md

@@ -1,10 +1,8 @@
 ---
 license: mit
-base_model: sanalsprasad/ai-generated-text-classification
+base_model: openai-community/roberta-base-openai-detector
 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 [sanalsprasad/ai-generated-text-classification](https://huggingface.co/sanalsprasad/ai-generated-text-classification) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.6810
-- Accuracy: 0.579
-- Roc Auc: 0.5385
+This model is a fine-tuned version of [openai-community/roberta-base-openai-detector](https://huggingface.co/openai-community/roberta-base-openai-detector) 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 |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|:-------:|
-| 0.6814        | 1.0   | 6250  | 0.6806          | 0.579    | 0.4785  |
-| 0.6761        | 2.0   | 12500 | 0.6810          | 0.579    | 0.5385  |
-
-
 ### Framework versions
 
 - Transformers 4.36.0

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "sanalsprasad/ai-generated-text-classification",
+  "_name_or_path": "openai-community/roberta-base-openai-detector",
   "architectures": [
     "RobertaForSequenceClassification"
   ],
@@ -28,7 +28,6 @@
   "output_past": true,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
-  "problem_type": "single_label_classification",
   "torch_dtype": "float32",
   "transformers_version": "4.36.0",
   "type_vocab_size": 1,

model.safetensors

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runs/Jan20_01-36-11_402a914913c7/events.out.tfevents.1705714575.402a914913c7.27.0

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training_args.bin

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