ao9000
/

phi2-dropout

Text Generation

text-generation-inference

Inference Endpoints

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ao9000 commited on Jul 22

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@@ -1,9 +1,9 @@
 ---
 license: mit
 ---
-Lora finetuning on Wikipedia-10, applying counter factual data augmentation (CDA)
-Dataset: Wikipedia-10
-Target modules = ["q_proj", "k_proj", "v_proj", "dense", "fc1", "fc2"]
 ```
 {
     "epoch": 0.22326645805206993,
@@ -15,4 +15,4 @@ Target modules = ["q_proj", "k_proj", "v_proj", "dense", "fc1", "fc2"]
     "train_steps_per_second": 0.03
 }
 ```
-Training script: https://github.com/ao9000/bias-bench/blob/main/experiments/run_clm.py

 ---
 license: mit
 ---
+# Lora finetuning on Wikipedia-10, applying counter factual data augmentation (CDA)
+- Dataset: Wikipedia-10
+- Target modules = ["q_proj", "k_proj", "v_proj", "dense", "fc1", "fc2"]
 ```
 {
     "epoch": 0.22326645805206993,
     "train_steps_per_second": 0.03
 }
 ```
+# Training script: https://github.com/ao9000/bias-bench/blob/main/experiments/run_clm.py