End of training

README.md

@@ -7,17 +7,33 @@ tags:
 - generated_from_trainer
 datasets:
 - discord
+metrics:
+- accuracy
 model-index:
-- name: rzeydelis/discord-crypto-scam-detector
-  results: []
+- name: discord-crypto-scam-detector
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: discord-crypto
+      type: discord
+      args: 'config: en'
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# rzeydelis/discord-crypto-scam-detector
+# discord-crypto-scam-detector
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the discord-crypto dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5311
+- Accuracy: 1.0
 
 ## Model description
 
@@ -44,6 +60,10 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3.0
 
+### Training results
+
+
+
 ### Framework versions
 
 - Transformers 4.33.3

config.json

@@ -18,6 +18,7 @@
   "num_hidden_layers": 12,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
   "torch_dtype": "float32",
   "transformers_version": "4.33.3",
   "type_vocab_size": 2,

pytorch_model.bin

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 size 433315633

training_args.bin

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