alexandra-barker/roberta-lora-gender-bias

README.md

@@ -4,6 +4,8 @@ license: mit
 base_model: roberta-base
 tags:
 - generated_from_trainer
+datasets:
+- meddialog
 model-index:
 - name: lora_finetuned_roberta_mlm
   results: []
@@ -14,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # lora_finetuned_roberta_mlm
 
-This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the meddialog dataset.
 
 ## Model description
 
@@ -39,7 +41,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 3
 
 ### Training results
 

adapter_config.json

@@ -20,8 +20,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "query",
-    "value"
+    "value",
+    "query"
   ],
   "task_type": "MASKED_LM",
   "use_dora": false,

adapter_model.safetensors

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

@@ -1,3 +1,3 @@
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