Model save

README.md

@@ -16,7 +16,7 @@ model-index:
 <!-- 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. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/adv-robustness/harmbench_adv_training/runs/285l8ovf)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/quirky_lats_at_mats/harmbench_adv_training/runs/g3qmuhiw)
 # llama2-7b-sft-lora
 
 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 generator dataset.
@@ -38,15 +38,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 1e-05
 - train_batch_size: 4
 - eval_batch_size: 8
 - seed: 4
 - distributed_type: multi-GPU
-- num_devices: 8
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 128
-- total_eval_batch_size: 64
+- num_devices: 2
+- total_train_batch_size: 8
+- total_eval_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - training_steps: 2000

adapter_config.json

@@ -16,12 +16,12 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "down_proj",
     "o_proj",
-    "up_proj",
     "v_proj",
     "k_proj",
-    "q_proj"
+    "q_proj",
+    "down_proj",
+    "up_proj"
   ],
   "task_type": "CAUSAL_LM"
 }

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a75a6eb7d6dbc326f8d6fd5957491f69a6615f9c061ef31693274894a8a861cf
+oid sha256:7d1d8ee5e122aa5ba15194f89a4f794f9c3fe72e5c3ede8c7f35cf55983cee6c
 size 258001832

runs/Jun05_10-54-37_130deefd5f50/events.out.tfevents.1717584904.130deefd5f50.53264.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7651e0dd1bed014850fd4a34ee411fd6c9b7c6c0ef3b8b184d6145948c907893
-size 5069
+oid sha256:d324ca15ff092008a45dee9aab973b5535a09da4d6a194dcc81425b8d1040e05
+size 5321

runs/Jun05_11-07-01_130deefd5f50/events.out.tfevents.1717585648.130deefd5f50.62366.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c50c6811b59416b32db8e6a7364de35a03dd4025cfe96473f5819531c005d070
+size 5069

step_0/README.md

@@ -203,4 +203,32 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 ### Framework versions
 
 
+- PEFT 0.6.1
+## Training procedure
+
+
+### Framework versions
+
+
+- PEFT 0.6.1
+## Training procedure
+
+
+### Framework versions
+
+
+- PEFT 0.6.1
+## Training procedure
+
+
+### Framework versions
+
+
+- PEFT 0.6.1
+## Training procedure
+
+
+### Framework versions
+
+
 - PEFT 0.6.1

step_0/adapter_config.json

@@ -16,12 +16,12 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "down_proj",
     "o_proj",
-    "up_proj",
     "v_proj",
     "k_proj",
-    "q_proj"
+    "q_proj",
+    "down_proj",
+    "up_proj"
   ],
   "task_type": "CAUSAL_LM"
 }

step_0/training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:173c76cadbe74666dccd764c95a48d397d2d329025362dc4e9264c954837cbdc
-size 6136
+oid sha256:47bdc5cf87726f6ef7a16049f3e5e010becd08a5397a3defaa4be5e83ac76fa4
+size 6200

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:173c76cadbe74666dccd764c95a48d397d2d329025362dc4e9264c954837cbdc
-size 6136
+oid sha256:47bdc5cf87726f6ef7a16049f3e5e010becd08a5397a3defaa4be5e83ac76fa4
+size 6200