Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,202 @@
+---
+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

@@ -0,0 +1,26 @@
+{
+  "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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d79486a855077e5b6fef0bc268764152618fa1f3bb04792f9d8e6d32c7b72237
+size 74018232

added_tokens.json

@@ -0,0 +1,16 @@
+{
+  "<|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

@@ -0,0 +1,3 @@
+{
+  "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

@@ -0,0 +1 @@
+25e0153080178406a6708e03c092dc56b5e482d2

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

@@ -0,0 +1 @@
+{"./data_dir/eval_vidore/tatdqa_test": {"ndcg_at_1": 0.69927, "ndcg_at_3": 0.78159, "ndcg_at_5": 0.80664, "ndcg_at_10": 0.82137, "ndcg_at_20": 0.82457, "ndcg_at_50": 0.82793, "ndcg_at_100": 0.8296, "map_at_1": 0.69927, "map_at_3": 0.76225, "map_at_5": 0.77616, "map_at_10": 0.78248, "map_at_20": 0.78342, "map_at_50": 0.78395, "map_at_100": 0.7841, "recall_at_1": 0.69927, "recall_at_3": 0.83718, "recall_at_5": 0.89793, "recall_at_10": 0.94228, "recall_at_20": 0.95443, "recall_at_50": 0.97145, "recall_at_100": 0.98177, "precision_at_1": 0.69927, "precision_at_3": 0.27906, "precision_at_5": 0.17959, "precision_at_10": 0.09423, "precision_at_20": 0.04772, "precision_at_50": 0.01943, "precision_at_100": 0.00982, "mrr_at_1": 0.6974483596597812, "mrr_at_3": 0.761543134872418, "mrr_at_5": 0.7746658566221142, "mrr_at_10": 0.7814586587976624, "mrr_at_20": 0.7824191336998677, "mrr_at_50": 0.7829654852280344, "mrr_at_100": 0.7831078050872305, "naucs_at_1_max": 0.25090705114736095, "naucs_at_1_std": -0.2940533354269669, "naucs_at_1_diff1": 0.8007724165936554, "naucs_at_3_max": 0.3012096695305833, "naucs_at_3_std": -0.26907262221168937, "naucs_at_3_diff1": 0.694047297263378, "naucs_at_5_max": 0.38315408734215384, "naucs_at_5_std": -0.11705503964351588, "naucs_at_5_diff1": 0.6525965995076792, "naucs_at_10_max": 0.5023489181540841, "naucs_at_10_std": 0.07188093987240221, "naucs_at_10_diff1": 0.6035975824693318, "naucs_at_20_max": 0.4924317060595406, "naucs_at_20_std": 0.20348352545042372, "naucs_at_20_diff1": 0.564375594315046, "naucs_at_50_max": 0.5257178180099493, "naucs_at_50_std": 0.4387361821625485, "naucs_at_50_diff1": 0.5178667258065841, "naucs_at_100_max": 0.5515774783565448, "naucs_at_100_std": 0.4959428152129429, "naucs_at_100_diff1": 0.48973397557707626}, "./data_dir/eval_vidore/shiftproject_test": {"ndcg_at_1": 0.76, "ndcg_at_3": 0.86202, "ndcg_at_5": 0.87881, "ndcg_at_10": 0.88485, "ndcg_at_20": 0.88485, "ndcg_at_50": 0.88707, "ndcg_at_100": 0.88707, "map_at_1": 0.76, "map_at_3": 0.83833, "map_at_5": 0.84783, "map_at_10": 0.85008, "map_at_20": 0.85008, "map_at_50": 0.85054, "map_at_100": 0.85054, "recall_at_1": 0.76, "recall_at_3": 0.93, "recall_at_5": 0.97, "recall_at_10": 0.99, "recall_at_20": 0.99, "recall_at_50": 1.0, "recall_at_100": 1.0, "precision_at_1": 0.76, "precision_at_3": 0.31, "precision_at_5": 0.194, "precision_at_10": 0.099, "precision_at_20": 0.0495, "precision_at_50": 0.02, "precision_at_100": 0.01, "mrr_at_1": 0.77, "mrr_at_3": 0.845, "mrr_at_5": 0.8545, "mrr_at_10": 0.85675, "mrr_at_20": 0.85675, "mrr_at_50": 0.8572045454545454, "mrr_at_100": 0.8572045454545454, "naucs_at_1_max": -0.12777970061434624, "naucs_at_1_std": -0.4984857662023017, "naucs_at_1_diff1": 0.6933243921432896, "naucs_at_3_max": 0.5858343337334906, "naucs_at_3_std": -0.004468454048285659, "naucs_at_3_diff1": 0.6212484993997599, "naucs_at_5_max": 0.6101774042950485, "naucs_at_5_std": 0.0704948646125114, "naucs_at_5_diff1": 0.7587924058512269, "naucs_at_10_max": 0.5541549953314738, "naucs_at_10_std": 0.5541549953314738, "naucs_at_10_diff1": 1.0, "naucs_at_20_max": 0.5541549953314738, "naucs_at_20_std": 0.5541549953314738, "naucs_at_20_diff1": 1.0, "naucs_at_50_max": NaN, "naucs_at_50_std": NaN, "naucs_at_50_diff1": NaN, "naucs_at_100_max": NaN, "naucs_at_100_std": NaN, "naucs_at_100_diff1": NaN}, "./data_dir/eval_vidore/syntheticDocQA_artificial_intelligence_test": {"ndcg_at_1": 0.99, "ndcg_at_3": 0.995, "ndcg_at_5": 0.995, "ndcg_at_10": 0.995, "ndcg_at_20": 0.995, "ndcg_at_50": 0.995, "ndcg_at_100": 0.995, "map_at_1": 0.99, "map_at_3": 0.99333, "map_at_5": 0.99333, "map_at_10": 0.99333, "map_at_20": 0.99333, "map_at_50": 0.99333, "map_at_100": 0.99333, "recall_at_1": 0.99, "recall_at_3": 1.0, "recall_at_5": 1.0, "recall_at_10": 1.0, "recall_at_20": 1.0, "recall_at_50": 1.0, "recall_at_100": 1.0, "precision_at_1": 0.99, "precision_at_3": 0.33333, "precision_at_5": 0.2, "precision_at_10": 0.1, "precision_at_20": 0.05, "precision_at_50": 0.02, "precision_at_100": 0.01, "mrr_at_1": 0.99, "mrr_at_3": 0.9933333333333333, "mrr_at_5": 0.9933333333333333, "mrr_at_10": 0.9933333333333333, "mrr_at_20": 0.9933333333333333, "mrr_at_50": 0.9933333333333333, "mrr_at_100": 0.9933333333333333, "naucs_at_1_max": 0.8692810457516276, "naucs_at_1_std": -0.17133520074696149, "naucs_at_1_diff1": 1.0, "naucs_at_3_max": 1.0, "naucs_at_3_std": 1.0, "naucs_at_3_diff1": 1.0, "naucs_at_5_max": 1.0, "naucs_at_5_std": 1.0, "naucs_at_5_diff1": 1.0, "naucs_at_10_max": 1.0, "naucs_at_10_std": 1.0, "naucs_at_10_diff1": 1.0, "naucs_at_20_max": 1.0, "naucs_at_20_std": 1.0, "naucs_at_20_diff1": 1.0, "naucs_at_50_max": NaN, "naucs_at_50_std": NaN, "naucs_at_50_diff1": NaN, "naucs_at_100_max": NaN, "naucs_at_100_std": NaN, "naucs_at_100_diff1": NaN}, "./data_dir/eval_vidore/syntheticDocQA_government_reports_test": {"ndcg_at_1": 0.95, "ndcg_at_3": 0.98155, "ndcg_at_5": 0.98155, "ndcg_at_10": 0.98155, "ndcg_at_20": 0.98155, "ndcg_at_50": 0.98155, "ndcg_at_100": 0.98155, "map_at_1": 0.95, "map_at_3": 0.975, "map_at_5": 0.975, "map_at_10": 0.975, "map_at_20": 0.975, "map_at_50": 0.975, "map_at_100": 0.975, "recall_at_1": 0.95, "recall_at_3": 1.0, "recall_at_5": 1.0, "recall_at_10": 1.0, "recall_at_20": 1.0, "recall_at_50": 1.0, "recall_at_100": 1.0, "precision_at_1": 0.95, "precision_at_3": 0.33333, "precision_at_5": 0.2, "precision_at_10": 0.1, "precision_at_20": 0.05, "precision_at_50": 0.02, "precision_at_100": 0.01, "mrr_at_1": 0.97, "mrr_at_3": 0.985, "mrr_at_5": 0.985, "mrr_at_10": 0.985, "mrr_at_20": 0.985, "mrr_at_50": 0.985, "mrr_at_100": 0.985, "naucs_at_1_max": 0.30924369747899044, "naucs_at_1_std": -0.1360410830999049, "naucs_at_1_diff1": 0.9444444444444438, "naucs_at_3_max": 1.0, "naucs_at_3_std": 1.0, "naucs_at_3_diff1": 1.0, "naucs_at_5_max": 1.0, "naucs_at_5_std": 1.0, "naucs_at_5_diff1": 1.0, "naucs_at_10_max": 1.0, "naucs_at_10_std": 1.0, "naucs_at_10_diff1": 1.0, "naucs_at_20_max": 1.0, "naucs_at_20_std": 1.0, "naucs_at_20_diff1": 1.0, "naucs_at_50_max": NaN, "naucs_at_50_std": NaN, "naucs_at_50_diff1": NaN, "naucs_at_100_max": NaN, "naucs_at_100_std": NaN, "naucs_at_100_diff1": NaN}, "./data_dir/eval_vidore/arxivqa_test_subsampled": {"ndcg_at_1": 0.82, "ndcg_at_3": 0.8565, "ndcg_at_5": 0.8719, "ndcg_at_10": 0.8816, "ndcg_at_20": 0.88566, "ndcg_at_50": 0.89002, "ndcg_at_100": 0.89133, "map_at_1": 0.82, "map_at_3": 0.84767, "map_at_5": 0.85607, "map_at_10": 0.86007, "map_at_20": 0.86119, "map_at_50": 0.86189, "map_at_100": 0.86201, "recall_at_1": 0.82, "recall_at_3": 0.882, "recall_at_5": 0.92, "recall_at_10": 0.95, "recall_at_20": 0.966, "recall_at_50": 0.988, "recall_at_100": 0.996, "precision_at_1": 0.82, "precision_at_3": 0.294, "precision_at_5": 0.184, "precision_at_10": 0.095, "precision_at_20": 0.0483, "precision_at_50": 0.01976, "precision_at_100": 0.00996, "mrr_at_1": 0.818, "mrr_at_3": 0.847, "mrr_at_5": 0.8549, "mrr_at_10": 0.8590880952380953, "mrr_at_20": 0.8602139921739768, "mrr_at_50": 0.8608936438058804, "mrr_at_100": 0.8610132721450209, "naucs_at_1_max": 0.8093071924220723, "naucs_at_1_std": -0.15325476374049982, "naucs_at_1_diff1": 0.9121599295076548, "naucs_at_3_max": 0.8687610005005734, "naucs_at_3_std": -0.10365902888791888, "naucs_at_3_diff1": 0.9062232556637445, "naucs_at_5_max": 0.8757002801120448, "naucs_at_5_std": -0.057691409897293336, "naucs_at_5_diff1": 0.8769257703081252, "naucs_at_10_max": 0.8769374416433241, "naucs_at_10_std": 0.07971988795517813, "naucs_at_10_diff1": 0.8788982259570494, "naucs_at_20_max": 0.8661229197561396, "naucs_at_20_std": 0.04668534080298997, "naucs_at_20_diff1": 0.8863074641621352, "naucs_at_50_max": 0.9074074074074128, "naucs_at_50_std": 0.08784624961095401, "naucs_at_50_diff1": 0.9101307189542546, "naucs_at_100_max": 1.0, "naucs_at_100_std": -0.29878618113917615, "naucs_at_100_diff1": 0.8611111111111168}, "./data_dir/eval_vidore/docvqa_test_subsampled": {"ndcg_at_1": 0.5388, "ndcg_at_3": 0.59518, "ndcg_at_5": 0.61331, "ndcg_at_10": 0.63493, "ndcg_at_20": 0.64571, "ndcg_at_50": 0.66094, "ndcg_at_100": 0.66706, "map_at_1": 0.5388, "map_at_3": 0.58167, "map_at_5": 0.59165, "map_at_10": 0.60065, "map_at_20": 0.60367, "map_at_50": 0.60623, "map_at_100": 0.60677, "recall_at_1": 0.5388, "recall_at_3": 0.63415, "recall_at_5": 0.67849, "recall_at_10": 0.74501, "recall_at_20": 0.78714, "recall_at_50": 0.86253, "recall_at_100": 0.90022, "precision_at_1": 0.5388, "precision_at_3": 0.21138, "precision_at_5": 0.1357, "precision_at_10": 0.0745, "precision_at_20": 0.03936, "precision_at_50": 0.01725, "precision_at_100": 0.009, "mrr_at_1": 0.5388026607538803, "mrr_at_3": 0.581670362158167, "mrr_at_5": 0.591869918699187, "mrr_at_10": 0.6002270087635941, "mrr_at_20": 0.6037472305777859, "mrr_at_50": 0.6061531947736035, "mrr_at_100": 0.6066866021159598, "naucs_at_1_max": 0.6889602472128592, "naucs_at_1_std": -0.1364008689785892, "naucs_at_1_diff1": 0.8930276424851852, "naucs_at_3_max": 0.6662544596828847, "naucs_at_3_std": -0.14933109624836824, "naucs_at_3_diff1": 0.8452905245514425, "naucs_at_5_max": 0.6483204948903895, "naucs_at_5_std": -0.15680650756804887, "naucs_at_5_diff1": 0.8035011466433396, "naucs_at_10_max": 0.6430340754448826, "naucs_at_10_std": -0.08243399370624406, "naucs_at_10_diff1": 0.7638350871217444, "naucs_at_20_max": 0.5999865757022875, "naucs_at_20_std": -0.07009652562261486, "naucs_at_20_diff1": 0.7423981914874048, "naucs_at_50_max": 0.5676739527242458, "naucs_at_50_std": 0.13867806923314227, "naucs_at_50_diff1": 0.7117833895641, "naucs_at_100_max": 0.6025972789679037, "naucs_at_100_std": 0.3436399076261163, "naucs_at_100_diff1": 0.6500925402658911}, "./data_dir/eval_vidore/syntheticDocQA_healthcare_industry_test": {"ndcg_at_1": 0.98, "ndcg_at_3": 0.99131, "ndcg_at_5": 0.99131, "ndcg_at_10": 0.99131, "ndcg_at_20": 0.99131, "ndcg_at_50": 0.99131, "ndcg_at_100": 0.99131, "map_at_1": 0.98, "map_at_3": 0.98833, "map_at_5": 0.98833, "map_at_10": 0.98833, "map_at_20": 0.98833, "map_at_50": 0.98833, "map_at_100": 0.98833, "recall_at_1": 0.98, "recall_at_3": 1.0, "recall_at_5": 1.0, "recall_at_10": 1.0, "recall_at_20": 1.0, "recall_at_50": 1.0, "recall_at_100": 1.0, "precision_at_1": 0.98, "precision_at_3": 0.33333, "precision_at_5": 0.2, "precision_at_10": 0.1, "precision_at_20": 0.05, "precision_at_50": 0.02, "precision_at_100": 0.01, "mrr_at_1": 0.98, "mrr_at_3": 0.9883333333333333, "mrr_at_5": 0.9883333333333333, "mrr_at_10": 0.9883333333333333, "mrr_at_20": 0.9883333333333333, "mrr_at_50": 0.9883333333333333, "mrr_at_100": 0.9883333333333333, "naucs_at_1_max": 0.6381886087768457, "naucs_at_1_std": -0.514472455648931, "naucs_at_1_diff1": 1.0, "naucs_at_3_max": 1.0, "naucs_at_3_std": 1.0, "naucs_at_3_diff1": 1.0, "naucs_at_5_max": 1.0, "naucs_at_5_std": 1.0, "naucs_at_5_diff1": 1.0, "naucs_at_10_max": 1.0, "naucs_at_10_std": 1.0, "naucs_at_10_diff1": 1.0, "naucs_at_20_max": 1.0, "naucs_at_20_std": 1.0, "naucs_at_20_diff1": 1.0, "naucs_at_50_max": NaN, "naucs_at_50_std": NaN, "naucs_at_50_diff1": NaN, "naucs_at_100_max": NaN, "naucs_at_100_std": NaN, "naucs_at_100_diff1": NaN}, "./data_dir/eval_vidore/infovqa_test_subsampled": {"ndcg_at_1": 0.86437, "ndcg_at_3": 0.90057, "ndcg_at_5": 0.91233, "ndcg_at_10": 0.91896, "ndcg_at_20": 0.921, "ndcg_at_50": 0.92312, "ndcg_at_100": 0.92379, "map_at_1": 0.86437, "map_at_3": 0.89204, "map_at_5": 0.89862, "map_at_10": 0.9014, "map_at_20": 0.90196, "map_at_50": 0.90235, "map_at_100": 0.90241, "recall_at_1": 0.86437, "recall_at_3": 0.9251, "recall_at_5": 0.95344, "recall_at_10": 0.97368, "recall_at_20": 0.98178, "recall_at_50": 0.9919, "recall_at_100": 0.99595, "precision_at_1": 0.86437, "precision_at_3": 0.30837, "precision_at_5": 0.19069, "precision_at_10": 0.09737, "precision_at_20": 0.04909, "precision_at_50": 0.01984, "precision_at_100": 0.00996, "mrr_at_1": 0.8643724696356275, "mrr_at_3": 0.8927125506072875, "mrr_at_5": 0.8992914979757085, "mrr_at_10": 0.9016748602274918, "mrr_at_20": 0.9022248835445273, "mrr_at_50": 0.9026106475419066, "mrr_at_100": 0.9026754989857776, "naucs_at_1_max": 0.6579798569725905, "naucs_at_1_std": -0.08712140791369336, "naucs_at_1_diff1": 0.9443407469406064, "naucs_at_3_max": 0.7130744631859681, "naucs_at_3_std": -0.06706146302294885, "naucs_at_3_diff1": 0.9080649742289221, "naucs_at_5_max": 0.8099526169769168, "naucs_at_5_std": 0.005146135649768734, "naucs_at_5_diff1": 0.935382109408786, "naucs_at_10_max": 0.861437319577247, "naucs_at_10_std": 0.05225263906280096, "naucs_at_10_diff1": 0.9484969923113604, "naucs_at_20_max": 0.8452245940363352, "naucs_at_20_std": 0.15182628345049073, "naucs_at_20_diff1": 0.9401180393458267, "naucs_at_50_max": 0.7864897480536438, "naucs_at_50_std": 0.6051995005869166, "naucs_at_50_diff1": 0.9305663155605097, "naucs_at_100_max": 0.9346992729675874, "naucs_at_100_std": 0.861132631121016, "naucs_at_100_diff1": 1.0}, "./data_dir/eval_vidore/syntheticDocQA_energy_test": {"ndcg_at_1": 0.93, "ndcg_at_3": 0.94131, "ndcg_at_5": 0.95335, "ndcg_at_10": 0.95335, "ndcg_at_20": 0.95335, "ndcg_at_50": 0.95755, "ndcg_at_100": 0.95755, "map_at_1": 0.93, "map_at_3": 0.93833, "map_at_5": 0.94483, "map_at_10": 0.94483, "map_at_20": 0.94483, "map_at_50": 0.9456, "map_at_100": 0.9456, "recall_at_1": 0.93, "recall_at_3": 0.95, "recall_at_5": 0.98, "recall_at_10": 0.98, "recall_at_20": 0.98, "recall_at_50": 1.0, "recall_at_100": 1.0, "precision_at_1": 0.93, "precision_at_3": 0.31667, "precision_at_5": 0.196, "precision_at_10": 0.098, "precision_at_20": 0.049, "precision_at_50": 0.02, "precision_at_100": 0.01, "mrr_at_1": 0.93, "mrr_at_3": 0.9383333333333332, "mrr_at_5": 0.9453333333333334, "mrr_at_10": 0.9453333333333334, "mrr_at_20": 0.9458333333333333, "mrr_at_50": 0.9462179487179487, "mrr_at_100": 0.9462179487179487, "naucs_at_1_max": 0.7316259837268236, "naucs_at_1_std": -0.3516073095905031, "naucs_at_1_diff1": 1.0, "naucs_at_3_max": 0.7690009337068138, "naucs_at_3_std": -0.5534080298786143, "naucs_at_3_diff1": 1.0, "naucs_at_5_max": 0.861111111111116, "naucs_at_5_std": -1.1517273576097045, "naucs_at_5_diff1": 1.0, "naucs_at_10_max": 0.861111111111116, "naucs_at_10_std": -1.1517273576097045, "naucs_at_10_diff1": 1.0, "naucs_at_20_max": 0.861111111111116, "naucs_at_20_std": -1.1517273576097045, "naucs_at_20_diff1": 1.0, "naucs_at_50_max": NaN, "naucs_at_50_std": NaN, "naucs_at_50_diff1": NaN, "naucs_at_100_max": NaN, "naucs_at_100_std": NaN, "naucs_at_100_diff1": NaN}, "./data_dir/eval_vidore/tabfquad_test_subsampled": {"ndcg_at_1": 0.81786, "ndcg_at_3": 0.86913, "ndcg_at_5": 0.87927, "ndcg_at_10": 0.8873, "ndcg_at_20": 0.89518, "ndcg_at_50": 0.89824, "ndcg_at_100": 0.89824, "map_at_1": 0.81786, "map_at_3": 0.85714, "map_at_5": 0.86268, "map_at_10": 0.86595, "map_at_20": 0.86798, "map_at_50": 0.86857, "map_at_100": 0.86857, "recall_at_1": 0.81786, "recall_at_3": 0.90357, "recall_at_5": 0.92857, "recall_at_10": 0.95357, "recall_at_20": 0.98571, "recall_at_50": 1.0, "recall_at_100": 1.0, "precision_at_1": 0.81786, "precision_at_3": 0.30119, "precision_at_5": 0.18571, "precision_at_10": 0.09536, "precision_at_20": 0.04929, "precision_at_50": 0.02, "precision_at_100": 0.01, "mrr_at_1": 0.8142857142857143, "mrr_at_3": 0.8559523809523809, "mrr_at_5": 0.8614880952380952, "mrr_at_10": 0.8648398526077097, "mrr_at_20": 0.8670438372717507, "mrr_at_50": 0.8674632095661231, "mrr_at_100": 0.8674632095661231, "naucs_at_1_max": 0.5880722164938427, "naucs_at_1_std": 0.2677379817513273, "naucs_at_1_diff1": 0.8970448045757864, "naucs_at_3_max": 0.6361137047411553, "naucs_at_3_std": 0.36993809869626837, "naucs_at_3_diff1": 0.843171836635889, "naucs_at_5_max": 0.6008169934640527, "naucs_at_5_std": 0.3147525676937467, "naucs_at_5_diff1": 0.815242763772175, "naucs_at_10_max": 0.5090138619550364, "naucs_at_10_std": 0.26635782518135487, "naucs_at_10_diff1": 0.7559793148028457, "naucs_at_20_max": 0.8068394024276438, "naucs_at_20_std": 0.6692343604108401, "naucs_at_20_diff1": 0.7047152194211078, "naucs_at_50_max": 1.0, "naucs_at_50_std": 1.0, "naucs_at_50_diff1": 1.0, "naucs_at_100_max": 1.0, "naucs_at_100_std": 1.0, "naucs_at_100_diff1": 1.0}}

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.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:091aa7594dc2fcfbfa06b9e3c22a5f0562ac14f30375c13af7309407a0e67b8a
+size 11420371

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 +1,66 @@
+config:
+  (): colpali_engine.trainer.colmodel_training.ColModelTrainingConfig
+  output_dir: !path ../../../models/colqwen2-hardneg-128-5e
+  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
+    attn_implementation: "flash_attention_2"
+  #    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_ir_negs
+  eval_dataset_loader: !import ../data/test_data.yaml
+
+  # max_length: 50
+  run_eval: true
+  
+  loss_func:
+    (): colpali_engine.loss.late_interaction_losses.ColbertPairwiseNegativeCELoss
+    in_batch_term: true
+  tr_args:
+    (): transformers.training_args.TrainingArguments
+    output_dir: null
+    overwrite_output_dir: true
+    num_train_epochs: 5
+    per_device_train_batch_size: 32
+    gradient_checkpointing: true
+    gradient_checkpointing_kwargs: {"use_reentrant": false}
+    # 6 x 8 gpus = 48 batch size
+    # gradient_accumulation_steps: 4
+    per_device_eval_batch_size: 32
+    eval_strategy: "steps"
+    dataloader_num_workers: 8
+    # bf16: true
+    save_steps: 500
+    logging_steps: 10
+    eval_steps: 100
+    warmup_steps: 100
+    learning_rate: 5e-4
+    save_total_limit: 1
+    # resume_from_checkpoint: true
+    # optim: "paged_adamw_8bit"  peft_config:
+  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).*$|.*(custom_text_proj).*$)'
+