End of training

README.md

@@ -3,7 +3,9 @@ library_name: peft
 license: apache-2.0
 base_model: HuggingFaceTB/SmolVLM-Base
 tags:
-- generated_from_trainer
+- base_model:adapter:HuggingFaceTB/SmolVLM-Base
+- lora
+- transformers
 model-index:
 - name: SmolVLM-Base-vqav2
   results: []
@@ -14,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # SmolVLM-Base-vqav2
 
-This model is a fine-tuned version of [HuggingFaceTB/SmolVLM-Base](https://huggingface.co/HuggingFaceTB/SmolVLM-Base) on an unknown dataset.
+This model is a fine-tuned version of [HuggingFaceTB/SmolVLM-Base](https://huggingface.co/HuggingFaceTB/SmolVLM-Base) on the None dataset.
 
 ## Model description
 
@@ -44,14 +46,10 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 50
 - num_epochs: 1
 
-### Training results
-
-
-
 ### Framework versions
 
-- PEFT 0.15.2
-- Transformers 4.53.0
+- PEFT 0.16.0
+- Transformers 4.52.4
 - Pytorch 2.7.1+cu126
 - Datasets 3.6.0
 - Tokenizers 0.21.2

adapter_config.json

@@ -23,20 +23,22 @@
   "megatron_core": "megatron.core",
   "modules_to_save": null,
   "peft_type": "LORA",
+  "qalora_group_size": 16,
   "r": 8,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
+    "up_proj",
     "gate_proj",
-    "q_proj",
-    "down_proj",
     "o_proj",
-    "up_proj",
+    "v_proj",
+    "q_proj",
     "k_proj",
-    "v_proj"
+    "down_proj"
   ],
   "task_type": null,
   "trainable_token_indices": null,
   "use_dora": false,
+  "use_qalora": false,
   "use_rslora": false
 }

adapter_model.safetensors

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training_args.bin

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