Revert to version 5b429160309b0724ec293dcf4894f07aa3ae9fa6

README.md

@@ -5,17 +5,23 @@ tags:
 - base_model:adapter:aubmindlab/bert-base-arabertv02
 - lora
 - transformers
+metrics:
+- accuracy
 model-index:
-- name: saudi-eou-qwen-classifier
+- name: saudi-eou-bert-classifier
   results: []
 ---
 
 <!-- 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. -->
 
-# saudi-eou-qwen-classifier
+# saudi-eou-bert-classifier
 
 This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3407
+- Accuracy: 0.864
+- Auc: 0.921
 
 ## Model description
 
@@ -43,6 +49,22 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 10
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc   |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|
+| 0.712         | 1.0   | 295  | 0.6541          | 0.619    | 0.685 |
+| 0.5634        | 2.0   | 590  | 0.4838          | 0.781    | 0.845 |
+| 0.4258        | 3.0   | 885  | 0.4189          | 0.819    | 0.883 |
+| 0.3619        | 4.0   | 1180 | 0.3920          | 0.837    | 0.897 |
+| 0.3366        | 5.0   | 1475 | 0.3684          | 0.853    | 0.907 |
+| 0.3309        | 6.0   | 1770 | 0.3650          | 0.854    | 0.912 |
+| 0.3191        | 7.0   | 2065 | 0.3555          | 0.856    | 0.916 |
+| 0.3028        | 8.0   | 2360 | 0.3432          | 0.864    | 0.919 |
+| 0.3018        | 9.0   | 2655 | 0.3437          | 0.859    | 0.92  |
+| 0.2987        | 10.0  | 2950 | 0.3407          | 0.864    | 0.921 |
+
+
 ### Framework versions
 
 - PEFT 0.18.0

adapter_config.json

@@ -32,9 +32,9 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
+    "query",
     "value",
-    "key",
-    "query"
+    "key"
   ],
   "target_parameters": null,
   "task_type": "SEQ_CLS",

adapter_model.safetensors

@@ -1,3 +1,3 @@
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 size 14172320

tokenizer.json

@@ -1,11 +1,6 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 128,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
+  "truncation": null,
   "padding": null,
   "added_tokens": [
     {

training_args.bin

@@ -1,3 +1,3 @@
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 size 5841