End

README.md

@@ -3,7 +3,7 @@ license: apache-2.0
 library_name: peft
 tags:
 - generated_from_trainer
-base_model: google/flan-t5-small
+base_model: google/flan-t5-base
 model-index:
 - name: events-mem-base-peft
   results: []
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # events-mem-base-peft
 
-This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
+This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
 
 ## Model description
 
@@ -39,7 +39,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- training_steps: 1
+- num_epochs: 10
 
 ### Training results
 

adapter_config.json

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": "google/flan-t5-small",
+  "base_model_name_or_path": "google/flan-t5-base",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,
@@ -20,8 +20,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v",
-    "q"
+    "q",
+    "v"
   ],
   "task_type": "SEQ_2_SEQ_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:12692a173d9a85f5f87762ed80c626b97a8cd345a237318ecdb9f71c765eddb5
+size 14176016

training_args.bin

@@ -1,3 +1,3 @@
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 size 5048