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training_checkpoints/checkpoint-321/README.md

@@ -1,6 +1,6 @@
 ---
 library_name: peft
-base_model: facebook/bart-base
+base_model: facebook/bart-large
 ---
 
 # Model Card for Model ID
@@ -81,7 +81,7 @@ Use the code below to get started with the model.
 
 [More Information Needed]
 
-### Training Procedure 
+### Training Procedure
 
 <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
 
@@ -197,8 +197,6 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 ## Model Card Contact
 
 [More Information Needed]
-
-
 ### Framework versions
 
 - PEFT 0.10.0

training_checkpoints/checkpoint-321/adapter_config.json

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": "facebook/bart-base",
+  "base_model_name_or_path": "facebook/bart-large",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,
@@ -20,13 +20,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "dense",
-    "v_proj",
     "fc1",
-    "fc2",
-    "out_proj",
     "q_proj",
-    "k_proj"
+    "dense",
+    "k_proj",
+    "out_proj",
+    "fc2",
+    "v_proj"
   ],
   "task_type": "SEQ_CLS",
   "use_dora": false,

training_checkpoints/checkpoint-321/adapter_model.safetensors

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training_checkpoints/checkpoint-321/optimizer.pt

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training_checkpoints/checkpoint-321/rng_state.pth

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training_checkpoints/checkpoint-321/trainer_state.json

@@ -1,5 +1,5 @@
 {
-  "best_metric": 0.3947617401663212,
+  "best_metric": 0.43370046411892155,
   "best_model_checkpoint": "bart-base-lora/checkpoint-321",
   "epoch": 1.9968895800933126,
   "eval_steps": 500,
@@ -10,46 +10,46 @@
   "log_history": [
     {
       "epoch": 1.0,
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   "max_steps": 2400,
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   "trial_params": null
 }

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