End of training

README.md

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+---
+library_name: transformers
+license: gemma
+base_model: vidore/colpaligemma-3b-pt-448-base
+tags:
+- colpali
+- generated_from_trainer
+model-index:
+- name: finetune_colpali-v1_3-4bit_v2
+  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. -->
+
+# finetune_colpali-v1_3-4bit_v2
+
+This model is a fine-tuned version of [vidore/colpaligemma-3b-pt-448-base](https://huggingface.co/vidore/colpaligemma-3b-pt-448-base) on the RowekBrah/ColPali_ann_rep_v2_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0670
+- Model Preparation Time: 0.0056
+
+## 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
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- 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_steps: 100
+- num_epochs: 1.5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Model Preparation Time |
+|:-------------:|:------:|:----:|:---------------:|:----------------------:|
+| No log        | 0.0012 | 1    | 0.2103          | 0.0056                 |
+| 0.4896        | 0.1238 | 100  | 0.1170          | 0.0056                 |
+| 0.5575        | 0.2476 | 200  | 0.0940          | 0.0056                 |
+| 0.3973        | 0.3714 | 300  | 0.0920          | 0.0056                 |
+| 0.4478        | 0.4952 | 400  | 0.0836          | 0.0056                 |
+| 0.2364        | 0.6190 | 500  | 0.0808          | 0.0056                 |
+| 0.2158        | 0.7428 | 600  | 0.0742          | 0.0056                 |
+| 0.339         | 0.8666 | 700  | 0.0700          | 0.0056                 |
+| 0.2052        | 0.9904 | 800  | 0.0704          | 0.0056                 |
+| 0.1546        | 1.1151 | 900  | 0.0672          | 0.0056                 |
+| 0.2003        | 1.2389 | 1000 | 0.0672          | 0.0056                 |
+| 0.1242        | 1.3627 | 1100 | 0.0676          | 0.0056                 |
+| 0.283         | 1.4865 | 1200 | 0.0674          | 0.0056                 |
+
+
+### Framework versions
+
+- Transformers 4.50.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "vidore/colpaligemma-3b-pt-448-base",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": "(.*(language_model).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$|.*(custom_text_proj).*$)",
+  "task_type": "FEATURE_EXTRACTION",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 157071680

training_args.bin

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