qwen2.5 version

README.md

@@ -5,8 +5,6 @@ tags:
 - base_model:adapter:aubmindlab/bert-base-arabertv02
 - lora
 - transformers
-metrics:
-- accuracy
 model-index:
 - name: saudi-eou-bert-classifier
   results: []
@@ -18,10 +16,6 @@ should probably proofread and complete it, then remove this comment. -->
 # 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
 
@@ -49,22 +43,6 @@ 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"
+    "key",
+    "query"
   ],
   "target_parameters": null,
   "task_type": "SEQ_CLS",

adapter_model.safetensors

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

tokenizer.json

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

training_args.bin

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