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README.md

@@ -1,10 +1,11 @@
 ---
 license: apache-2.0
-base_model: distilbert-base-uncased
+library_name: peft
 tags:
 - generated_from_trainer
 metrics:
 - accuracy
+base_model: distilbert-base-uncased
 model-index:
 - name: distilbert-base-uncased-lora-text-classification
   results: []
@@ -15,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-base-uncased-lora-text-classification
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0684
-- Accuracy: {'accuracy': 0.879}
+- Loss: 0.9162
+- Accuracy: {'accuracy': 0.901}
 
 ## Model description
 
@@ -49,21 +50,28 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy            |
 |:-------------:|:-----:|:----:|:---------------:|:-------------------:|
-| No log        | 1.0   | 250  | 0.4266          | {'accuracy': 0.87}  |
-| 0.4232        | 2.0   | 500  | 0.4260          | {'accuracy': 0.88}  |
-| 0.4232        | 3.0   | 750  | 0.5071          | {'accuracy': 0.885} |
-| 0.2213        | 4.0   | 1000 | 0.7424          | {'accuracy': 0.875} |
-| 0.2213        | 5.0   | 1250 | 0.7885          | {'accuracy': 0.881} |
-| 0.067         | 6.0   | 1500 | 0.9312          | {'accuracy': 0.872} |
-| 0.067         | 7.0   | 1750 | 0.9669          | {'accuracy': 0.874} |
-| 0.0238        | 8.0   | 2000 | 1.0856          | {'accuracy': 0.874} |
-| 0.0238        | 9.0   | 2250 | 1.0637          | {'accuracy': 0.88}  |
-| 0.0066        | 10.0  | 2500 | 1.0684          | {'accuracy': 0.879} |
+| No log        | 1.0   | 250  | 0.3611          | {'accuracy': 0.871} |
+| 0.4182        | 2.0   | 500  | 0.5356          | {'accuracy': 0.883} |
+| 0.4182        | 3.0   | 750  | 0.5292          | {'accuracy': 0.899} |
+| 0.2132        | 4.0   | 1000 | 0.5966          | {'accuracy': 0.897} |
+| 0.2132        | 5.0   | 1250 | 0.6869          | {'accuracy': 0.894} |
+| 0.0748        | 6.0   | 1500 | 0.7645          | {'accuracy': 0.898} |
+| 0.0748        | 7.0   | 1750 | 0.8095          | {'accuracy': 0.897} |
+| 0.0335        | 8.0   | 2000 | 0.9055          | {'accuracy': 0.892} |
+| 0.0335        | 9.0   | 2250 | 0.9086          | {'accuracy': 0.901} |
+| 0.0083        | 10.0  | 2500 | 0.9162          | {'accuracy': 0.901} |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0
+## Training procedure
 
 
 ### Framework versions
 
-- Transformers 4.32.1
-- Pytorch 2.0.1
-- Datasets 2.14.4
-- Tokenizers 0.13.2
+
+- PEFT 0.6.2

adapter_config.json

@@ -1,4 +1,5 @@
 {
+  "alpha_pattern": {},
   "auto_mapping": null,
   "base_model_name_or_path": "distilbert-base-uncased",
   "bias": "none",
@@ -12,6 +13,7 @@
   "modules_to_save": null,
   "peft_type": "LORA",
   "r": 4,
+  "rank_pattern": {},
   "revision": null,
   "target_modules": [
     "q_lin"

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d7115f52b941aa039350b290b079fc1d32a3bb16fbbe8bc1058922327876e50a
+size 2518104