End of training

README.md

@@ -6,8 +6,6 @@ tags:
 - generated_from_trainer
 datasets:
 - imagefolder
-metrics:
-- accuracy
 model-index:
 - name: PG2-28b-pt-448-COND_GEN
   results: []
@@ -19,9 +17,6 @@ should probably proofread and complete it, then remove this comment. -->
 # PG2-28b-pt-448-COND_GEN
 
 This model is a fine-tuned version of [google/paligemma2-28b-pt-448](https://huggingface.co/google/paligemma2-28b-pt-448) on the imagefolder dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0000
-- Accuracy: 0.0
 
 ## Model description
 
@@ -47,31 +42,10 @@ The following hyperparameters were used during training:
 - 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
 - lr_scheduler_warmup_steps: 2
-- num_epochs: 2
+- num_epochs: 0.0005
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.4437        | 0.1001 | 200  | 0.0036          | 1.0      |
-| 0.3054        | 0.2001 | 400  | 0.0002          | 1.0      |
-| 0.3504        | 0.3002 | 600  | 0.0001          | 1.0      |
-| 0.2364        | 0.4002 | 800  | 0.0001          | 0.0      |
-| 0.257         | 0.5003 | 1000 | 0.0001          | 0.0      |
-| 0.3007        | 0.6003 | 1200 | 0.0002          | 0.0      |
-| 0.2468        | 0.7004 | 1400 | 0.0001          | 0.0      |
-| 0.278         | 0.8004 | 1600 | 0.0001          | 0.0      |
-| 0.2576        | 0.9005 | 1800 | 0.0001          | 0.0      |
-| 0.3052        | 1.0005 | 2000 | 0.0005          | 0.0      |
-| 0.0982        | 1.1006 | 2200 | 0.0001          | 0.0      |
-| 0.103         | 1.2006 | 2400 | 0.0001          | 0.0      |
-| 0.1191        | 1.3007 | 2600 | 0.0001          | 0.0      |
-| 0.1137        | 1.4007 | 2800 | 0.0001          | 1.0      |
-| 0.1567        | 1.5008 | 3000 | 0.0001          | 0.0      |
-| 0.0758        | 1.6008 | 3200 | 0.0000          | 0.0      |
-| 0.0969        | 1.7009 | 3400 | 0.0001          | 0.0      |
-| 0.1034        | 1.8009 | 3600 | 0.0000          | 0.0      |
-| 0.0513        | 1.9010 | 3800 | 0.0000          | 0.0      |
 
 
 ### Framework versions

adapter_config.json

@@ -25,11 +25,11 @@
   "target_modules": [
     "k_proj",
     "q_proj",
-    "v_proj",
     "up_proj",
+    "v_proj",
     "gate_proj",
-    "down_proj",
-    "o_proj"
+    "o_proj",
+    "down_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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-size 40
+oid sha256:d12180845e55b2f3c08ed3c6fb390b0763bc38e1252b1454b7be82f1e82dd6dc
+size 234454320

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:b330f0cfb1c3a8787840edf2ccb59935a6383f572809112ee47a8e5f862e2541
 size 5368