hiranmai49/llama-2_totto_instructions

README.md

@@ -12,7 +12,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # results
 
-This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the None dataset.
+This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset.
 
 ## Model description
 
@@ -32,15 +32,19 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0002
-- train_batch_size: 8
-- eval_batch_size: 16
+- train_batch_size: 2
+- eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 32
+- total_train_batch_size: 8
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant
 - lr_scheduler_warmup_ratio: 0.03
-- training_steps: 200
+- training_steps: 500
+
+### Training results
+
+
 
 ### Framework versions
 

adapter_config.json

@@ -1,4 +1,5 @@
 {
+  "alpha_pattern": {},
   "auto_mapping": null,
   "base_model_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
   "bias": "none",
@@ -12,6 +13,7 @@
   "modules_to_save": null,
   "peft_type": "LORA",
   "r": 64,
+  "rank_pattern": {},
   "revision": null,
   "target_modules": [
     "q_proj",

adapter_model.bin

@@ -1,3 +1,3 @@
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training_args.bin

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