Colabng/twitter_bank_scam_classifier

README.md

@@ -20,9 +20,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7791
-- Accuracy: 0.5
-- Auc: 0.55
+- Loss: 0.6715
+- Accuracy: 0.64
+- Auc: 0.66
 
 ## Model description
 
@@ -53,8 +53,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc  |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|
-| 0.7848        | 1.0   | 11   | 0.7885          | 0.45     | 0.51 |
-| 0.633         | 2.0   | 22   | 0.7791          | 0.5      | 0.55 |
+| 0.7438        | 1.0   | 11   | 0.6913          | 0.55     | 0.65 |
+| 0.6635        | 2.0   | 22   | 0.6715          | 0.64     | 0.66 |
 
 
 ### Framework versions

adapter_config.json

@@ -28,8 +28,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "query",
     "key",
+    "query",
     "value"
   ],
   "task_type": "SEQ_CLS",

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5580fd44bf139499264952161a4a99221479e20c6483be68ca4f2f93f18d9307
+oid sha256:443e176956e1bb04f9baa317aea9b0014b0ed5644816cb26008423b6fc2f18b6
 size 95583552

runs/Sep28_23-03-55_crn-d2ckhvruibrs738j7ur0-29318340-j4lbt/events.out.tfevents.1759100636.crn-d2ckhvruibrs738j7ur0-29318340-j4lbt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b2a21b2db8b4d8766929da3c25655d1e739919a1e5a529b98936bfa8dd60001c
+size 6564

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:50642fb26aa03cdce1003e6488c68fdfe7140baf3fc4d0e9dd5b52473ebf4262
-size 5777
+oid sha256:28aa6dcaf57091a59ff6ae72cd3d6ca7b89a799908c3d8813f9d7d29994f6033
+size 5841