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README.md

@@ -1,69 +1,9 @@
 ---
-license: apache-2.0
-base_model: distilbert-base-uncased
-tags:
-- generated_from_trainer
-metrics:
-- accuracy
-model-index:
-- name: distilbert-base-uncased-lora-text-classification
-  results: []
+library_name: peft
 ---
-
-<!-- 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. -->
-
-# 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.
-It achieves the following results on the evaluation set:
-- Loss: 1.4902
-- Accuracy: {'accuracy': 0.5691906005221932}
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
 ## Training procedure
 
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 0.001
-- train_batch_size: 4
-- eval_batch_size: 4
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 10
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy                          |
-|:-------------:|:-----:|:----:|:---------------:|:---------------------------------:|
-| 2.1699        | 1.0   | 767  | 1.9578          | {'accuracy': 0.34595300261096606} |
-| 1.7466        | 2.0   | 1534 | 1.6447          | {'accuracy': 0.43994778067885115} |
-| 1.5928        | 3.0   | 2301 | 1.6027          | {'accuracy': 0.48825065274151436} |
-| 1.46          | 4.0   | 3068 | 1.4771          | {'accuracy': 0.5039164490861618}  |
-| 1.3395        | 5.0   | 3835 | 1.4685          | {'accuracy': 0.5234986945169713}  |
-| 1.2109        | 6.0   | 4602 | 1.4587          | {'accuracy': 0.5509138381201044}  |
-| 1.0814        | 7.0   | 5369 | 1.4672          | {'accuracy': 0.5535248041775457}  |
-| 0.9708        | 8.0   | 6136 | 1.4799          | {'accuracy': 0.5626631853785901}  |
-| 0.9325        | 9.0   | 6903 | 1.4789          | {'accuracy': 0.5652741514360313}  |
-| 0.8056        | 10.0  | 7670 | 1.4902          | {'accuracy': 0.5691906005221932}  |
-
-
 ### Framework versions
 
-- Transformers 4.33.0
-- Pytorch 2.0.0
-- Datasets 2.1.0
-- Tokenizers 0.13.3
+
+- PEFT 0.5.0

adapter_config.json

@@ -7,11 +7,11 @@
   "init_lora_weights": true,
   "layers_pattern": null,
   "layers_to_transform": null,
-  "lora_alpha": 32,
-  "lora_dropout": 0.01,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
   "modules_to_save": null,
   "peft_type": "LORA",
-  "r": 16,
+  "r": 64,
   "revision": null,
   "target_modules": [
     "q_lin"

adapter_model.bin

@@ -1,3 +1,3 @@
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-size 3007265
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+size 4776737