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README.md

@@ -1,7 +1,9 @@
 ---
 license: apache-2.0
+library_name: peft
 tags:
 - generated_from_trainer
+base_model: bert-base-uncased
 model-index:
 - name: Bert-base-uncased-finetuned-LoRA
   results: []
@@ -45,7 +47,8 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
+- PEFT 0.7.1
 - Transformers 4.27.2
 - Pytorch 2.1.0+cu121
 - Datasets 2.16.1
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3

adapter_config.json

@@ -0,0 +1,29 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "BertForMaskedLM",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "bert-base-uncased",
+  "bias": "all",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "value",
+    "query"
+  ],
+  "task_type": null
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9413c82c3751a48e9f360e0c407acd5803cd6ea17c9f768907309e960869938a
+size 1858256