End of training

README.md

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+---
+library_name: peft
+license: gemma
+base_model: google/paligemma2-28b-pt-448
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: PG2-28b-pt-448-COND_GEN
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+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
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- 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
+- lr_scheduler_warmup_steps: 2
+- num_epochs: 2
+
+### 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
+
+- PEFT 0.14.0
+- Transformers 4.48.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "google/paligemma2-28b-pt-448",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 8,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "q_proj",
+    "v_proj",
+    "up_proj",
+    "gate_proj",
+    "down_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

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parameter_config.json

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+{
+    "mode": "COND_GEN",
+    "attention_pooling": false,
+    "freeze_vision": true,
+    "lora": true,
+    "quantize": true
+}

training_args.bin

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