fields_medal

README.md

@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant
 - lr_scheduler_warmup_steps: 0.03
-- training_steps: 50
+- num_epochs: 1
 
 ### Training results
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- PEFT 0.7.1
-- Transformers 4.36.2
-- Pytorch 2.1.2+cu121
-- Datasets 2.16.1
-- Tokenizers 0.15.0
+- PEFT 0.9.0
+- Transformers 4.37.0
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.1

adapter_config.json

@@ -19,8 +19,10 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
-    "v_proj"
+    "v_proj",
+    "q_proj"
   ],
-  "task_type": "CASUAL_LM"
+  "task_type": "CASUAL_LM",
+  "use_dora": false,
+  "use_rslora": false
 }

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+size 48

runs/Mar08_10-04-57_228b6ba89a8b/events.out.tfevents.1709892318.228b6ba89a8b.34.0

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training_args.bin

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