Hari7696/PEFT_LoRa

README.md

@@ -33,14 +33,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.003
+- learning_rate: 0.001
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 50
-- num_epochs: 4
+- num_epochs: 2
 
 ### Training results
 

adapter_config.json

@@ -1,14 +1,23 @@
 {
+  "alpha_pattern": {},
   "auto_mapping": null,
   "base_model_name_or_path": "google/flan-t5-base",
+  "bias": "none",
   "fan_in_fan_out": false,
-  "feedforward_modules": [
-    "v"
-  ],
   "inference_mode": true,
-  "init_ia3_weights": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
   "modules_to_save": null,
-  "peft_type": "IA3",
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
   "revision": null,
   "target_modules": [
     "k",
@@ -16,5 +25,7 @@
     "v",
     "o"
   ],
-  "task_type": "SEQ_2_SEQ_LM"
+  "task_type": "SEQ_2_SEQ_LM",
+  "use_dora": false,
+  "use_rslora": false
 }

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+size 28352216

training_args.bin

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