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README.md

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+---
+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: 1.0049
+- Accuracy: {'accuracy': 0.883}
+
+## 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            |
+|:-------------:|:-----:|:----:|:---------------:|:-------------------:|
+| No log        | 1.0   | 250  | 0.3972          | {'accuracy': 0.858} |
+| 0.4079        | 2.0   | 500  | 0.4154          | {'accuracy': 0.878} |
+| 0.4079        | 3.0   | 750  | 0.6355          | {'accuracy': 0.87}  |
+| 0.1558        | 4.0   | 1000 | 0.7310          | {'accuracy': 0.876} |
+| 0.1558        | 5.0   | 1250 | 0.8508          | {'accuracy': 0.877} |
+| 0.0432        | 6.0   | 1500 | 0.9112          | {'accuracy': 0.876} |
+| 0.0432        | 7.0   | 1750 | 1.0137          | {'accuracy': 0.873} |
+| 0.0208        | 8.0   | 2000 | 0.9952          | {'accuracy': 0.88}  |
+| 0.0208        | 9.0   | 2250 | 0.9904          | {'accuracy': 0.881} |
+| 0.0035        | 10.0  | 2500 | 1.0049          | {'accuracy': 0.883} |
+
+
+### Framework versions
+
+- PEFT 0.5.0
+- Transformers 4.32.1
+- Pytorch 2.1.0.dev20230905
+- Datasets 2.14.4
+- Tokenizers 0.13.3

adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "distilbert-base-uncased",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 32,
+  "lora_dropout": 0.01,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "revision": null,
+  "target_modules": [
+    "q_lin"
+  ],
+  "task_type": "SEQ_CLS"
+}

adapter_model.bin

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