End of training

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4355
-- Accuracy: 0.9353
+- Loss: 0.3131
+- Accuracy: 0.9412
 
 ## Model description
 
@@ -52,9 +52,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.2112        | 0.6223 | 200  | 0.3314          | 0.9118   |
-| 0.0001        | 1.2427 | 400  | 0.6193          | 0.9176   |
-| 0.001         | 1.8650 | 600  | 0.4355          | 0.9353   |
+| 0.7205        | 0.4667 | 150  | 0.1976          | 0.9235   |
+| 8.0092        | 0.9334 | 300  | 0.1773          | 0.9353   |
+| 0.0           | 1.3983 | 450  | 0.3947          | 0.9412   |
+| 0.0035        | 1.8650 | 600  | 0.3131          | 0.9412   |
 
 
 ### Framework versions

config.json

@@ -20,15 +20,15 @@
   "hidden_activation": "gelu",
   "hidden_size": 768,
   "id2label": {
-    "0": "unagree",
-    "1": "agree"
+    "0": "human",
+    "1": "llm"
   },
   "initializer_cutoff_factor": 2.0,
   "initializer_range": 0.02,
   "intermediate_size": 1152,
   "label2id": {
-    "agree": 1,
-    "unagree": 0
+    "human": 0,
+    "llm": 1
   },
   "layer_norm_eps": 1e-05,
   "local_attention": 128,

model.safetensors

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runs/Jun01_22-34-52_ada1cb72042b/events.out.tfevents.1748817297.ada1cb72042b.10619.0

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training_args.bin

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