End of training

README.md

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+---
+library_name: peft
+license: gemma
+base_model: google/paligemma-3b-pt-224
+tags:
+- generated_from_trainer
+model-index:
+- name: vqamed_exp
+  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. -->
+
+# vqamed_exp
+
+This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7403
+
+## 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: 10
+- eval_batch_size: 10
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 40
+- optimizer: Use OptimizerNames.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_ratio: 0.03
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.5638        | 0.3125 | 100  | 1.1130          |
+| 1.2452        | 0.625  | 200  | 0.9256          |
+| 1.0757        | 0.9375 | 300  | 0.8467          |
+| 0.8429        | 1.25   | 400  | 0.8236          |
+| 0.9455        | 1.5625 | 500  | 0.7959          |
+| 0.8045        | 1.875  | 600  | 0.7693          |
+| 0.6543        | 2.1875 | 700  | 0.7652          |
+| 0.7764        | 2.5    | 800  | 0.7567          |
+| 0.7508        | 2.8125 | 900  | 0.7401          |
+| 0.593         | 3.125  | 1000 | 0.7403          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.46.2
+- Pytorch 2.4.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.20.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "google/paligemma-3b-pt-224",
+  "bias": "none",
+  "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": 64,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "up_proj",
+    "k_proj",
+    "o_proj",
+    "gate_proj",
+    "down_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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runs/Nov22_14-39-56_identity/events.out.tfevents.1732257597.identity.563748.0

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training_args.bin

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