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README.md

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+---
+base_model: vidore/colqwen2-base
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.11.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "vidore/colqwen2-base",
+  "bias": "none",
+  "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_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": "(.*(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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+version https://git-lfs.github.com/spec/v1
+oid sha256:49f197f2601d0136d0af935a8da98b4409bc7ed82f33d5527a870a5c21a0abe0
+size 74018232

added_tokens.json

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+{
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.json

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+{
+  "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
+}

git_hash.txt

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+3ec85f462475d4564d0926a885fc5fe1b95e606d

preprocessor_config.json

@@ -0,0 +1,29 @@
+{
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "Qwen2VLImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "max_pixels": 12845056,
+  "merge_size": 2,
+  "min_pixels": 3136,
+  "patch_size": 14,
+  "processor_class": "ColQwen2Processor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "max_pixels": 12845056,
+    "min_pixels": 3136
+  },
+  "temporal_patch_size": 2
+}

results.json

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+{"validation_set": {"ndcg_at_1": 0.816, "ndcg_at_3": 0.87743, "ndcg_at_5": 0.88801, "ndcg_at_10": 0.89049, "ndcg_at_20": 0.89308, "ndcg_at_100": 0.8984, "ndcg_at_1000": 0.89954, "map_at_1": 0.816, "map_at_3": 0.86267, "map_at_5": 0.86847, "map_at_10": 0.86942, "map_at_20": 0.87018, "map_at_100": 0.87095, "map_at_1000": 0.87101, "recall_at_1": 0.816, "recall_at_3": 0.92, "recall_at_5": 0.946, "recall_at_10": 0.954, "recall_at_20": 0.964, "recall_at_100": 0.992, "recall_at_1000": 1.0, "precision_at_1": 0.816, "precision_at_3": 0.30667, "precision_at_5": 0.1892, "precision_at_10": 0.0954, "precision_at_20": 0.0482, "precision_at_100": 0.00992, "precision_at_1000": 0.001, "mrr_at_1": 0.82, "mrr_at_3": 0.8629999999999998, "mrr_at_5": 0.8703999999999998, "mrr_at_10": 0.8713301587301585, "mrr_at_20": 0.8723493506493503, "mrr_at_100": 0.8731067876052313, "mrr_at_1000": 0.8731343731583642, "naucs_at_1_max": 0.4089927902257919, "naucs_at_1_std": -0.3392695246729696, "naucs_at_1_diff1": 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"map_at_1000": 0.94261, "recall_at_1": 0.91, "recall_at_3": 0.97, "recall_at_5": 0.97, "recall_at_10": 0.98, "recall_at_20": 0.99, "recall_at_100": 1.0, "recall_at_1000": 1.0, "precision_at_1": 0.91, "precision_at_3": 0.32333, "precision_at_5": 0.194, "precision_at_10": 0.098, "precision_at_20": 0.0495, "precision_at_100": 0.01, "precision_at_1000": 0.001, "mrr_at_1": 0.94, "mrr_at_3": 0.955, "mrr_at_5": 0.955, "mrr_at_10": 0.9564285714285714, "mrr_at_20": 0.9573376623376624, "mrr_at_100": 0.9577922077922078, "mrr_at_1000": 0.9577922077922078, "naucs_at_1_max": 0.2695300342359169, "naucs_at_1_std": -0.6963896669779026, "naucs_at_1_diff1": 0.9854756717501807, "naucs_at_3_max": 0.5714285714285686, "naucs_at_3_std": -1.21708683473389, "naucs_at_3_diff1": 1.0, "naucs_at_5_max": 0.5714285714285722, "naucs_at_5_std": -1.2170868347338937, "naucs_at_5_diff1": 1.0, "naucs_at_10_max": 0.7957516339869297, "naucs_at_10_std": -0.9556489262371616, "naucs_at_10_diff1": 1.0, "naucs_at_20_max": 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NaN}, "syntheticDocQA_government_reports": {"ndcg_at_1": 0.85, "ndcg_at_3": 0.92309, "ndcg_at_5": 0.93171, "ndcg_at_10": 0.93472, "ndcg_at_20": 0.93472, "ndcg_at_100": 0.93472, "ndcg_at_1000": 0.93472, "map_at_1": 0.85, "map_at_3": 0.90667, "map_at_5": 0.91167, "map_at_10": 0.91278, "map_at_20": 0.91278, "map_at_100": 0.91278, "map_at_1000": 0.91278, "recall_at_1": 0.85, "recall_at_3": 0.97, "recall_at_5": 0.99, "recall_at_10": 1.0, "recall_at_20": 1.0, "recall_at_100": 1.0, "recall_at_1000": 1.0, "precision_at_1": 0.85, "precision_at_3": 0.32333, "precision_at_5": 0.198, "precision_at_10": 0.1, "precision_at_20": 0.05, "precision_at_100": 0.01, "precision_at_1000": 0.001, "mrr_at_1": 0.86, "mrr_at_3": 0.9116666666666666, "mrr_at_5": 0.9166666666666665, "mrr_at_10": 0.9179166666666666, "mrr_at_20": 0.9179166666666666, "mrr_at_100": 0.9179166666666666, "mrr_at_1000": 0.9179166666666666, "naucs_at_1_max": 0.4882525219655072, "naucs_at_1_std": 0.2755938821998056, "naucs_at_1_diff1": 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"recall_at_1000": 1.0, "precision_at_1": 0.856, "precision_at_3": 0.30267, "precision_at_5": 0.1872, "precision_at_10": 0.0954, "precision_at_20": 0.0489, "precision_at_100": 0.00986, "precision_at_1000": 0.001, "mrr_at_1": 0.86, "mrr_at_3": 0.8839999999999999, "mrr_at_5": 0.8895999999999998, "mrr_at_10": 0.8919190476190474, "mrr_at_20": 0.893826762736747, "mrr_at_100": 0.8940837133167153, "mrr_at_1000": 0.8941572107843205, "naucs_at_1_max": 0.6396625783444994, "naucs_at_1_std": -0.11759779554787107, "naucs_at_1_diff1": 0.9412753944240329, "naucs_at_3_max": 0.5607518369666695, "naucs_at_3_std": -0.23359923679616587, "naucs_at_3_diff1": 0.8989668331100549, "naucs_at_5_max": 0.7544496965452863, "naucs_at_5_std": -0.03478057889822458, "naucs_at_5_diff1": 0.9227503501400529, "naucs_at_10_max": 0.7531157390492416, "naucs_at_10_std": -0.19932610725450334, "naucs_at_10_diff1": 0.9488491048593367, "naucs_at_20_max": 0.9163907987437411, "naucs_at_20_std": 0.24034462269756168, "naucs_at_20_diff1": 0.9524658348187754, "naucs_at_100_max": 0.9603174603174626, "naucs_at_100_std": 0.28097905828998787, "naucs_at_100_diff1": 0.9626517273576126, "naucs_at_1000_max": 1.0, "naucs_at_1000_std": 1.0, "naucs_at_1000_diff1": 1.0}, "docvqa_subsampled": {"ndcg_at_1": 0.462, "ndcg_at_3": 0.52421, "ndcg_at_5": 0.55269, "ndcg_at_10": 0.58165, "ndcg_at_20": 0.59442, "ndcg_at_100": 0.61615, "ndcg_at_1000": 0.62947, "map_at_1": 0.462, "map_at_3": 0.50967, "map_at_5": 0.52527, "map_at_10": 0.5375, "map_at_20": 0.54108, "map_at_100": 0.54388, "map_at_1000": 0.54434, "recall_at_1": 0.462, "recall_at_3": 0.566, "recall_at_5": 0.636, "recall_at_10": 0.724, "recall_at_20": 0.774, "recall_at_100": 0.894, "recall_at_1000": 1.0, "precision_at_1": 0.462, "precision_at_3": 0.18867, "precision_at_5": 0.1272, "precision_at_10": 0.0724, "precision_at_20": 0.0387, "precision_at_100": 0.00894, "precision_at_1000": 0.001, "mrr_at_1": 0.464, "mrr_at_3": 0.5140000000000001, "mrr_at_5": 0.5276, "mrr_at_10": 0.5392595238095239, "mrr_at_20": 0.5427890347354745, "mrr_at_100": 0.5456342789886727, "mrr_at_1000": 0.5461156386952566, "naucs_at_1_max": 0.6458196908851354, "naucs_at_1_std": 0.20323368757675922, "naucs_at_1_diff1": 0.8721936004754803, "naucs_at_3_max": 0.6349820968797422, "naucs_at_3_std": 0.26161988232234823, "naucs_at_3_diff1": 0.7944184557880087, "naucs_at_5_max": 0.6085398087052426, "naucs_at_5_std": 0.26688090665348296, "naucs_at_5_diff1": 0.7506481076524244, "naucs_at_10_max": 0.555114948298363, "naucs_at_10_std": 0.42525464696933346, "naucs_at_10_diff1": 0.7213517332983245, "naucs_at_20_max": 0.5278038772462562, "naucs_at_20_std": 0.5622415585240862, "naucs_at_20_diff1": 0.6966560907081347, "naucs_at_100_max": 0.557859893864365, "naucs_at_100_std": 0.9139733418525807, "naucs_at_100_diff1": 0.6317288749267865, "naucs_at_1000_max": 1.0, "naucs_at_1000_std": 1.0, "naucs_at_1000_diff1": 1.0}, "arxivqa_subsampled": {"ndcg_at_1": 0.802, "ndcg_at_3": 0.85338, "ndcg_at_5": 0.86732, "ndcg_at_10": 0.87428, "ndcg_at_20": 0.88107, "ndcg_at_100": 0.88546, "ndcg_at_1000": 0.88657, "map_at_1": 0.802, "map_at_3": 0.84133, "map_at_5": 0.84903, "map_at_10": 0.85181, "map_at_20": 0.85379, "map_at_100": 0.8545, "map_at_1000": 0.85456, "recall_at_1": 0.802, "recall_at_3": 0.888, "recall_at_5": 0.922, "recall_at_10": 0.944, "recall_at_20": 0.97, "recall_at_100": 0.992, "recall_at_1000": 1.0, "precision_at_1": 0.802, "precision_at_3": 0.296, "precision_at_5": 0.1844, "precision_at_10": 0.0944, "precision_at_20": 0.0485, "precision_at_100": 0.00992, "precision_at_1000": 0.001, "mrr_at_1": 0.798, "mrr_at_3": 0.8393333333333333, "mrr_at_5": 0.8470333333333331, "mrr_at_10": 0.8496023809523807, "mrr_at_20": 0.8517748418248414, "mrr_at_100": 0.8525011699855726, "mrr_at_1000": 0.8525560625613932, "naucs_at_1_max": 0.7609787332735034, "naucs_at_1_std": -0.04982403775373434, "naucs_at_1_diff1": 0.9467323457935447, "naucs_at_3_max": 0.810834347943723, "naucs_at_3_std": -0.07579985119047568, "naucs_at_3_diff1": 0.9171401515151517, "naucs_at_5_max": 0.7709665062606241, "naucs_at_5_std": -0.1451076156958529, "naucs_at_5_diff1": 0.9040556393497581, "naucs_at_10_max": 0.8141923436041086, "naucs_at_10_std": 0.03956582633053216, "naucs_at_10_diff1": 0.9042950513538771, "naucs_at_20_max": 0.7773109243697499, "naucs_at_20_std": 0.03131030189853261, "naucs_at_20_diff1": 0.8921568627450983, "naucs_at_100_max": 0.9346405228758211, "naucs_at_100_std": 0.21288515406164388, "naucs_at_100_diff1": 0.8978758169934562, "naucs_at_1000_max": 1.0, "naucs_at_1000_std": 1.0, "naucs_at_1000_diff1": 1.0}, "tabfquad_subsampled": {"ndcg_at_1": 0.82143, "ndcg_at_3": 0.88078, "ndcg_at_5": 0.88662, "ndcg_at_10": 0.8959, "ndcg_at_20": 0.90245, "ndcg_at_100": 0.90455, "ndcg_at_1000": 0.90455, "map_at_1": 0.82143, "map_at_3": 0.86667, "map_at_5": 0.86988, "map_at_10": 0.87373, "map_at_20": 0.87564, "map_at_100": 0.87596, "map_at_1000": 0.87596, "recall_at_1": 0.82143, "recall_at_3": 0.92143, "recall_at_5": 0.93571, "recall_at_10": 0.96429, "recall_at_20": 0.98929, "recall_at_100": 1.0, "recall_at_1000": 1.0, "precision_at_1": 0.82143, "precision_at_3": 0.30714, "precision_at_5": 0.18714, "precision_at_10": 0.09643, "precision_at_20": 0.04946, "precision_at_100": 0.01, "precision_at_1000": 0.001, "mrr_at_1": 0.825, "mrr_at_3": 0.867857142857143, "mrr_at_5": 0.8712500000000002, "mrr_at_10": 0.8749943310657597, "mrr_at_20": 0.8769510053438626, "mrr_at_100": 0.877276262150675, "mrr_at_1000": 0.877276262150675, "naucs_at_1_max": 0.42563899346146206, "naucs_at_1_std": 0.1471765405191198, "naucs_at_1_diff1": 0.8586387953239548, "naucs_at_3_max": 0.5611365758424587, "naucs_at_3_std": 0.3328664799253024, "naucs_at_3_diff1": 0.8272642390289456, "naucs_at_5_max": 0.514705882352943, "naucs_at_5_std": 0.30713766988277114, "naucs_at_5_diff1": 0.7961406784936206, "naucs_at_10_max": 0.6987394957983158, "naucs_at_10_std": 0.5981325863678804, "naucs_at_10_diff1": 0.7941176470588184, "naucs_at_20_max": 0.5659819483349039, "naucs_at_20_std": 0.38624338624340593, "naucs_at_20_diff1": 0.7222222222222332, "naucs_at_100_max": 1.0, "naucs_at_100_std": 1.0, "naucs_at_100_diff1": 1.0, "naucs_at_1000_max": NaN, "naucs_at_1000_std": NaN, "naucs_at_1000_diff1": NaN}, "tatdqa": {"ndcg_at_1": 0.63981, "ndcg_at_3": 0.74917, "ndcg_at_5": 0.7759, "ndcg_at_10": 0.79135, "ndcg_at_20": 0.79694, "ndcg_at_100": 0.8024, "ndcg_at_1000": 0.80405, "map_at_1": 0.63981, "map_at_3": 0.72269, "map_at_5": 0.73766, "map_at_10": 0.74409, "map_at_20": 0.74569, "map_at_100": 0.74649, "map_at_1000": 0.74657, "recall_at_1": 0.63981, "recall_at_3": 0.82562, "recall_at_5": 0.88996, "recall_at_10": 0.93746, "recall_at_20": 0.95911, "recall_at_100": 0.98797, "recall_at_1000": 1.0, "precision_at_1": 0.63981, "precision_at_3": 0.27521, "precision_at_5": 0.17799, "precision_at_10": 0.09375, "precision_at_20": 0.04796, "precision_at_100": 0.00988, "precision_at_1000": 0.001, "mrr_at_1": 0.6361996392062538, "mrr_at_3": 0.7217879334535983, "mrr_at_5": 0.7364902786129491, "mrr_at_10": 0.7432783075146278, "mrr_at_20": 0.7447440403539413, "mrr_at_100": 0.7455222233062115, "mrr_at_1000": 0.7456073710266525, "naucs_at_1_max": 0.1755436734128544, "naucs_at_1_std": -0.3413375494454732, "naucs_at_1_diff1": 0.8028659791349476, "naucs_at_3_max": 0.22498779700389868, "naucs_at_3_std": -0.3217234939830549, "naucs_at_3_diff1": 0.709972936200294, "naucs_at_5_max": 0.30088635417517934, "naucs_at_5_std": -0.18095101115377482, "naucs_at_5_diff1": 0.6729946219402011, "naucs_at_10_max": 0.45528821068686837, "naucs_at_10_std": 0.111949278381562, "naucs_at_10_diff1": 0.5970873099232054, "naucs_at_20_max": 0.5130688154968079, "naucs_at_20_std": 0.1996874580648595, "naucs_at_20_diff1": 0.5824718780309613, "naucs_at_100_max": 0.6356023548124133, "naucs_at_100_std": 0.6258417323163146, "naucs_at_100_diff1": 0.5270310843892404, "naucs_at_1000_max": NaN, "naucs_at_1000_std": NaN, "naucs_at_1000_diff1": NaN}, "shift_project": {"ndcg_at_1": 0.72, "ndcg_at_3": 0.85988, "ndcg_at_5": 0.85988, "ndcg_at_10": 0.86948, "ndcg_at_20": 0.87204, "ndcg_at_100": 0.87396, "ndcg_at_1000": 0.87396, "map_at_1": 0.72, "map_at_3": 0.82833, "map_at_5": 0.82833, "map_at_10": 0.83225, "map_at_20": 0.83296, "map_at_100": 0.83324, "map_at_1000": 0.83324, "recall_at_1": 0.72, "recall_at_3": 0.95, "recall_at_5": 0.95, "recall_at_10": 0.98, "recall_at_20": 0.99, "recall_at_100": 1.0, "recall_at_1000": 1.0, "precision_at_1": 0.72, "precision_at_3": 0.31667, "precision_at_5": 0.19, "precision_at_10": 0.098, "precision_at_20": 0.0495, "precision_at_100": 0.01, "precision_at_1000": 0.001, "mrr_at_1": 0.75, "mrr_at_3": 0.845, "mrr_at_5": 0.845, "mrr_at_10": 0.849095238095238, "mrr_at_20": 0.8498095238095238, "mrr_at_100": 0.850095238095238, "mrr_at_1000": 0.850095238095238, "naucs_at_1_max": -0.0836195054945053, "naucs_at_1_std": -0.565399877899878, "naucs_at_1_diff1": 0.7036210317460321, "naucs_at_3_max": 0.17889822595705038, "naucs_at_3_std": -0.12530345471521812, "naucs_at_3_diff1": 0.6112044817927178, "naucs_at_5_max": 0.1788982259570549, "naucs_at_5_std": -0.12530345471521045, "naucs_at_5_diff1": 0.6112044817927212, "naucs_at_10_max": -0.5929038281979383, "naucs_at_10_std": -0.5929038281979383, "naucs_at_10_diff1": 0.9346405228758136, "naucs_at_20_max": -1.7399626517273863, "naucs_at_20_std": -1.7399626517273863, "naucs_at_20_diff1": 1.0, "naucs_at_100_max": NaN, "naucs_at_100_std": NaN, "naucs_at_100_diff1": NaN, "naucs_at_1000_max": NaN, "naucs_at_1000_std": NaN, "naucs_at_1000_diff1": NaN}}

special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,144 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 32768,
+  "pad_token": "<|endoftext|>",
+  "padding_side": "left",
+  "processor_class": "ColQwen2Processor",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

training_config.yml

@@ -0,0 +1,63 @@
+config:
+  (): colpali_engine.trainer.colmodel_training.ColModelTrainingConfig
+  output_dir: !path ../../../models/colqwen2-5e
+  processor:
+    (): colpali_engine.utils.transformers_wrappers.AllPurposeWrapper
+    class_to_instanciate: !ext colpali_engine.models.ColQwen2Processor
+    pretrained_model_name_or_path:  "./models/colqwen2_base" # "./models/paligemma-3b-mix-448"
+    # max_length: 50
+
+  model:
+    (): colpali_engine.utils.transformers_wrappers.AllPurposeWrapper
+    class_to_instanciate: !ext colpali_engine.models.ColQwen2
+    pretrained_model_name_or_path: "./models/colqwen2_base"
+    torch_dtype:  !ext torch.bfloat16
+    use_cache: false
+#    device_map: "auto"
+#    quantization_config:
+#      (): transformers.BitsAndBytesConfig
+#      load_in_4bit: true
+#      bnb_4bit_quant_type: "nf4"
+#      bnb_4bit_compute_dtype:  "bfloat16"
+#      bnb_4bit_use_double_quant: true
+
+  dataset_loading_func: !ext colpali_engine.utils.dataset_transformation.load_train_set_detailed
+  eval_dataset_loader: !import ../data/test_data.yaml
+
+  # max_length: 50
+  run_eval: true
+  add_suffix: true
+  loss_func:
+    (): colpali_engine.loss.late_interaction_losses.ColbertPairwiseCELoss
+  tr_args:
+    (): transformers.training_args.TrainingArguments
+    output_dir: null
+    overwrite_output_dir: true
+    num_train_epochs: 5
+    per_device_train_batch_size: 4
+    # 6 x 8 gpus = 48 batch size
+    # gradient_accumulation_steps: 4
+    per_device_eval_batch_size: 4
+    eval_strategy: "steps"
+    # dataloader_num_workers: 8
+    # bf16: true
+    save_steps: 500
+    logging_steps: 10
+    eval_steps: 100
+    warmup_steps: 500
+    learning_rate: 5e-5
+    save_total_limit: 1
+    resume_from_checkpoint: true
+    # optim: "paged_adamw_8bit"
+
+  peft_config:
+    (): peft.LoraConfig
+    r: 32
+    lora_alpha: 32
+    lora_dropout: 0.1
+    init_lora_weights: "gaussian"
+    bias: "none"
+    task_type: "FEATURE_EXTRACTION"
+    target_modules: '(.*(model).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$|.*(custom_text_proj).*$)'
+    # target_modules: '(.*(language_model).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$|.*(custom_text_proj).*$)'
+