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: ./models/qwenstella-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": "./models/qwenstella-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": 128,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 128,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": "(.*(model).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$|.*(vector_linear_1024).*$|.*(vision_model).*(merger).*(mlp).*(0|2).*$)",
+  "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 sha256:73aaa9e14349f0237c69d8cac997c9d9c3da25c92d89c068f721739caaedc3ae
+size 300471232

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 @@
+62bc8d64aae6fa0b612386af8c65b9f6debffd40

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": "ColQwenStellaProcessor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "max_pixels": 12845056,
+    "min_pixels": 3136
+  },
+  "temporal_patch_size": 2
+}

results.json

@@ -0,0 +1 @@
+{"arxivqa_subsampled": {"ndcg_at_1": 0.846, "ndcg_at_3": 0.88724, "ndcg_at_5": 0.89464, "ndcg_at_10": 0.90262, "ndcg_at_20": 0.90655, "ndcg_at_100": 0.91016, "ndcg_at_1000": 0.91096, "map_at_1": 0.846, "map_at_3": 0.87667, "map_at_5": 0.88077, "map_at_10": 0.88419, "map_at_20": 0.88522, "map_at_100": 0.88582, "map_at_1000": 0.88586, "recall_at_1": 0.846, "recall_at_3": 0.918, "recall_at_5": 0.936, "recall_at_10": 0.96, "recall_at_20": 0.976, "recall_at_100": 0.994, "recall_at_1000": 1.0, "precision_at_1": 0.846, "precision_at_3": 0.306, "precision_at_5": 0.1872, "precision_at_10": 0.096, "precision_at_20": 0.0488, "precision_at_100": 0.00994, "precision_at_1000": 0.001, "mrr_at_1": 0.846, "mrr_at_3": 0.8763333333333332, "mrr_at_5": 0.8814333333333333, "mrr_at_10": 0.8845722222222221, "mrr_at_20": 0.885592790130406, "mrr_at_100": 0.8862097092529907, "mrr_at_1000": 0.8862427513676859, "naucs_at_1_max": 0.7479507415456175, "naucs_at_1_std": -0.2812281571288769, "naucs_at_1_diff1": 0.9258454382553668, "naucs_at_3_max": 0.8387761608708549, "naucs_at_3_std": -0.24216027874564358, "naucs_at_3_diff1": 0.8901755824280918, "naucs_at_5_max": 0.8996265172735749, "naucs_at_5_std": -0.2175390989729223, "naucs_at_5_diff1": 0.8941555788982243, "naucs_at_10_max": 0.9303221288515416, "naucs_at_10_std": -0.2065126050420224, "naucs_at_10_diff1": 0.8937908496732003, "naucs_at_20_max": 0.928804855275447, "naucs_at_20_std": -0.11896981014628347, "naucs_at_20_diff1": 0.9114923747276666, "naucs_at_100_max": 1.0, "naucs_at_100_std": 0.18643012760655897, "naucs_at_100_diff1": 0.9128540305010608, "naucs_at_1000_max": 1.0, "naucs_at_1000_std": 1.0, "naucs_at_1000_diff1": 1.0}, "docvqa_subsampled": {"ndcg_at_1": 0.53437, "ndcg_at_3": 0.60632, "ndcg_at_5": 0.62646, "ndcg_at_10": 0.64874, "ndcg_at_20": 0.65909, "ndcg_at_100": 0.67792, "ndcg_at_1000": 0.6888, "map_at_1": 0.53437, "map_at_3": 0.58832, "map_at_5": 0.59952, "map_at_10": 0.60875, "map_at_20": 0.61173, "map_at_100": 0.61445, "map_at_1000": 0.61488, "recall_at_1": 0.53437, "recall_at_3": 0.65854, "recall_at_5": 0.70732, "recall_at_10": 0.77605, "recall_at_20": 0.81596, "recall_at_100": 0.91574, "recall_at_1000": 1.0, "precision_at_1": 0.53437, "precision_at_3": 0.21951, "precision_at_5": 0.14146, "precision_at_10": 0.07761, "precision_at_20": 0.0408, "precision_at_100": 0.00916, "precision_at_1000": 0.001, "mrr_at_1": 0.5365853658536586, "mrr_at_3": 0.5901699926090171, "mrr_at_5": 0.6021433850702144, "mrr_at_10": 0.6104872769506914, "mrr_at_20": 0.6132983422271759, "mrr_at_100": 0.6160294924799838, "mrr_at_1000": 0.6163830410583075, "naucs_at_1_max": 0.5973701491411594, "naucs_at_1_std": 0.15100454385637924, "naucs_at_1_diff1": 0.8982591944341096, "naucs_at_3_max": 0.4757723580757023, "naucs_at_3_std": 0.22070278027542517, "naucs_at_3_diff1": 0.8195064617583738, "naucs_at_5_max": 0.4575723188898858, "naucs_at_5_std": 0.3134827125035666, "naucs_at_5_diff1": 0.8072241700536605, "naucs_at_10_max": 0.4266102606041783, "naucs_at_10_std": 0.4518654327173679, "naucs_at_10_diff1": 0.7860743297872201, "naucs_at_20_max": 0.3739263641054462, "naucs_at_20_std": 0.5739789303935408, "naucs_at_20_diff1": 0.7911193147059952, "naucs_at_100_max": 0.07709889473305605, "naucs_at_100_std": 0.9164818709731807, "naucs_at_100_diff1": 0.7582525989589187, "naucs_at_1000_max": 1.0, "naucs_at_1000_std": 1.0, "naucs_at_1000_diff1": 1.0}, "infovqa_subsampled": {"ndcg_at_1": 0.88462, "ndcg_at_3": 0.9157, "ndcg_at_5": 0.92136, "ndcg_at_10": 0.92762, "ndcg_at_20": 0.92974, "ndcg_at_100": 0.93344, "ndcg_at_1000": 0.93371, "map_at_1": 0.88462, "map_at_3": 0.90823, "map_at_5": 0.91127, "map_at_10": 0.91407, "map_at_20": 0.91469, "map_at_100": 0.91517, "map_at_1000": 0.91519, "recall_at_1": 0.88462, "recall_at_3": 0.93725, "recall_at_5": 0.95142, "recall_at_10": 0.96964, "recall_at_20": 0.97773, "recall_at_100": 0.99798, "recall_at_1000": 1.0, "precision_at_1": 0.88462, "precision_at_3": 0.31242, "precision_at_5": 0.19028, "precision_at_10": 0.09696, "precision_at_20": 0.04889, "precision_at_100": 0.00998, "precision_at_1000": 0.001, "mrr_at_1": 0.8846153846153846, "mrr_at_3": 0.9078947368421051, "mrr_at_5": 0.9119433198380564, "mrr_at_10": 0.9141242529400422, "mrr_at_20": 0.9149161960396777, "mrr_at_100": 0.9153930732357304, "mrr_at_1000": 0.9154058852072365, "naucs_at_1_max": 0.6190259976448219, "naucs_at_1_std": -0.3264770605196707, "naucs_at_1_diff1": 0.9262796600708453, "naucs_at_3_max": 0.781416166586695, "naucs_at_3_std": -0.12104903138475114, "naucs_at_3_diff1": 0.9081894684511614, "naucs_at_5_max": 0.8767035503045449, "naucs_at_5_std": 0.10481623478693029, "naucs_at_5_diff1": 0.9038671319947321, "naucs_at_10_max": 0.9354592911852186, "naucs_at_10_std": 0.25907731302868264, "naucs_at_10_diff1": 0.9390526547697702, "naucs_at_20_max": 0.9238628019857293, "naucs_at_20_std": 0.30347513687216277, "naucs_at_20_diff1": 0.928762843237398, "naucs_at_100_max": 0.8693985459351681, "naucs_at_100_std": 0.12265766416441783, "naucs_at_100_diff1": 1.0, "naucs_at_1000_max": 1.0, "naucs_at_1000_std": 1.0, "naucs_at_1000_diff1": 1.0}, "tabfquad_subsampled": {"ndcg_at_1": 0.90357, "ndcg_at_3": 0.94405, "ndcg_at_5": 0.95127, "ndcg_at_10": 0.95365, "ndcg_at_20": 0.95365, "ndcg_at_100": 0.9544, "ndcg_at_1000": 0.9544, "map_at_1": 0.90357, "map_at_3": 0.93452, "map_at_5": 0.93845, "map_at_10": 0.93947, "map_at_20": 0.93947, "map_at_100": 0.93961, "map_at_1000": 0.93961, "recall_at_1": 0.90357, "recall_at_3": 0.97143, "recall_at_5": 0.98929, "recall_at_10": 0.99643, "recall_at_20": 0.99643, "recall_at_100": 1.0, "recall_at_1000": 1.0, "precision_at_1": 0.90357, "precision_at_3": 0.32381, "precision_at_5": 0.19786, "precision_at_10": 0.09964, "precision_at_20": 0.04982, "precision_at_100": 0.01, "precision_at_1000": 0.001, "mrr_at_1": 0.9035714285714286, "mrr_at_3": 0.9345238095238096, "mrr_at_5": 0.9384523809523809, "mrr_at_10": 0.9394090136054422, "mrr_at_20": 0.9394090136054422, "mrr_at_100": 0.9395463762428049, "mrr_at_1000": 0.9395463762428049, "naucs_at_1_max": 0.5883217484524678, "naucs_at_1_std": 0.046685340802988085, "naucs_at_1_diff1": 0.8713559497873212, "naucs_at_3_max": 0.822945845004673, "naucs_at_3_std": 0.5123716153127884, "naucs_at_3_diff1": 0.9305555555555513, "naucs_at_5_max": 1.0, "naucs_at_5_std": 0.9128540305011011, "naucs_at_5_diff1": 0.9074074074074161, "naucs_at_10_max": 1.0, "naucs_at_10_std": 0.8692810457516478, "naucs_at_10_diff1": 1.0, "naucs_at_20_max": 1.0, "naucs_at_20_std": 0.8692810457516478, "naucs_at_20_diff1": 1.0, "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": 0.66221, "ndcg_at_3": 0.7618, "ndcg_at_5": 0.78695, "ndcg_at_10": 0.80524, "ndcg_at_20": 0.81008, "ndcg_at_100": 0.81541, "ndcg_at_1000": 0.81634, "map_at_1": 0.66221, "map_at_3": 0.73815, "map_at_5": 0.75204, "map_at_10": 0.75983, "map_at_20": 0.7612, "map_at_100": 0.76198, "map_at_1000": 0.76203, "recall_at_1": 0.66221, "recall_at_3": 0.82989, "recall_at_5": 0.89125, "recall_at_10": 0.94654, "recall_at_20": 0.96537, "recall_at_100": 0.99332, "recall_at_1000": 1.0, "precision_at_1": 0.66221, "precision_at_3": 0.27663, "precision_at_5": 0.17825, "precision_at_10": 0.09465, "precision_at_20": 0.04827, "precision_at_100": 0.00993, "precision_at_1000": 0.001, "mrr_at_1": 0.6591737545565006, "mrr_at_3": 0.7368367760226815, "mrr_at_5": 0.750901174564602, "mrr_at_10": 0.7581910933672786, "mrr_at_20": 0.7596198059062583, "mrr_at_100": 0.7604221238767853, "mrr_at_1000": 0.7604672192997383, "naucs_at_1_max": 0.27078275465894486, "naucs_at_1_std": -0.2663234396116274, "naucs_at_1_diff1": 0.8294043992382637, "naucs_at_3_max": 0.330441662626675, "naucs_at_3_std": -0.18926582210411605, "naucs_at_3_diff1": 0.7259080195940506, "naucs_at_5_max": 0.36775785913157905, "naucs_at_5_std": -0.08929087499088985, "naucs_at_5_diff1": 0.7091864349746133, "naucs_at_10_max": 0.5108967532379013, "naucs_at_10_std": 0.10663319614120796, "naucs_at_10_diff1": 0.7206260108568603, "naucs_at_20_max": 0.6726089047927092, "naucs_at_20_std": 0.36289839721701594, "naucs_at_20_diff1": 0.7442189535318923, "naucs_at_100_max": 0.6921321331042545, "naucs_at_100_std": 0.7999774728465878, "naucs_at_100_diff1": 0.6295641820467829, "naucs_at_1000_max": NaN, "naucs_at_1000_std": NaN, "naucs_at_1000_diff1": NaN}, "shift_project": {"ndcg_at_1": 0.75, "ndcg_at_3": 0.86833, "ndcg_at_5": 0.88081, "ndcg_at_10": 0.88382, "ndcg_at_20": 0.88382, "ndcg_at_100": 0.88543, "ndcg_at_1000": 0.88543, "map_at_1": 0.75, "map_at_3": 0.84, "map_at_5": 0.847, "map_at_10": 0.84811, "map_at_20": 0.84811, "map_at_100": 0.84825, "map_at_1000": 0.84825, "recall_at_1": 0.75, "recall_at_3": 0.95, "recall_at_5": 0.98, "recall_at_10": 0.99, "recall_at_20": 0.99, "recall_at_100": 1.0, "recall_at_1000": 1.0, "precision_at_1": 0.75, "precision_at_3": 0.31667, "precision_at_5": 0.196, "precision_at_10": 0.099, "precision_at_20": 0.0495, "precision_at_100": 0.01, "precision_at_1000": 0.001, "mrr_at_1": 0.74, "mrr_at_3": 0.8333333333333331, "mrr_at_5": 0.8423333333333332, "mrr_at_10": 0.8434444444444443, "mrr_at_20": 0.8434444444444443, "mrr_at_100": 0.8435795795795795, "mrr_at_1000": 0.8435795795795795, "naucs_at_1_max": 0.11870225013082168, "naucs_at_1_std": -0.40613291470434393, "naucs_at_1_diff1": 0.8483516483516487, "naucs_at_3_max": 0.09925303454715217, "naucs_at_3_std": -0.3987861811391193, "naucs_at_3_diff1": 0.7955182072829138, "naucs_at_5_max": 0.3384687208216692, "naucs_at_5_std": 0.09337068160597826, "naucs_at_5_diff1": 0.7770774976657324, "naucs_at_10_max": 0.5541549953314738, "naucs_at_10_std": 0.35807656395891135, "naucs_at_10_diff1": 0.5541549953314738, "naucs_at_20_max": 0.5541549953314738, "naucs_at_20_std": 0.35807656395891135, "naucs_at_20_diff1": 0.5541549953314738, "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}, "syntheticDocQA_artificial_intelligence_test": {"ndcg_at_1": 0.99, "ndcg_at_3": 0.99631, "ndcg_at_5": 0.99631, "ndcg_at_10": 0.99631, "ndcg_at_20": 0.99631, "ndcg_at_100": 0.99631, "ndcg_at_1000": 0.99631, "map_at_1": 0.99, "map_at_3": 0.995, "map_at_5": 0.995, "map_at_10": 0.995, "map_at_20": 0.995, "map_at_100": 0.995, "map_at_1000": 0.995, "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_100": 1.0, "recall_at_1000": 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_100": 0.01, "precision_at_1000": 0.001, "mrr_at_1": 0.99, "mrr_at_3": 0.995, "mrr_at_5": 0.995, "mrr_at_10": 0.995, "mrr_at_20": 0.995, "mrr_at_100": 0.995, "mrr_at_1000": 0.995, "naucs_at_1_max": 1.0, "naucs_at_1_std": 1.0, "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_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}, "syntheticDocQA_energy": {"ndcg_at_1": 0.91, "ndcg_at_3": 0.94655, "ndcg_at_5": 0.95428, "ndcg_at_10": 0.95428, "ndcg_at_20": 0.95428, "ndcg_at_100": 0.95636, "ndcg_at_1000": 0.95636, "map_at_1": 0.91, "map_at_3": 0.93833, "map_at_5": 0.94233, "map_at_10": 0.94233, "map_at_20": 0.94233, "map_at_100": 0.9427, "map_at_1000": 0.9427, "recall_at_1": 0.91, "recall_at_3": 0.97, "recall_at_5": 0.99, "recall_at_10": 0.99, "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": 0.198, "precision_at_10": 0.099, "precision_at_20": 0.0495, "precision_at_100": 0.01, "precision_at_1000": 0.001, "mrr_at_1": 0.91, "mrr_at_3": 0.94, "mrr_at_5": 0.9440000000000001, "mrr_at_10": 0.9440000000000001, "mrr_at_20": 0.9440000000000001, "mrr_at_100": 0.9443846153846154, "mrr_at_1000": 0.9443846153846154, "naucs_at_1_max": 0.13269011308227113, "naucs_at_1_std": -0.5395269218798633, "naucs_at_1_diff1": 0.9709513435003629, "naucs_at_3_max": 0.9564270152505466, "naucs_at_3_std": -0.2236227824463119, "naucs_at_3_diff1": 0.9564270152505466, "naucs_at_5_max": 1.0, "naucs_at_5_std": -1.1517273576097316, "naucs_at_5_diff1": 1.0, "naucs_at_10_max": 1.0, "naucs_at_10_std": -1.1517273576097316, "naucs_at_10_diff1": 1.0, "naucs_at_20_max": 1.0, "naucs_at_20_std": -1.1517273576097316, "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}, "syntheticDocQA_government_reports": {"ndcg_at_1": 0.94, "ndcg_at_3": 0.96262, "ndcg_at_5": 0.97079, "ndcg_at_10": 0.97079, "ndcg_at_20": 0.97079, "ndcg_at_100": 0.97079, "ndcg_at_1000": 0.97079, "map_at_1": 0.94, "map_at_3": 0.95667, "map_at_5": 0.96117, "map_at_10": 0.96117, "map_at_20": 0.96117, "map_at_100": 0.96117, "map_at_1000": 0.96117, "recall_at_1": 0.94, "recall_at_3": 0.98, "recall_at_5": 1.0, "recall_at_10": 1.0, "recall_at_20": 1.0, "recall_at_100": 1.0, "recall_at_1000": 1.0, "precision_at_1": 0.94, "precision_at_3": 0.32667, "precision_at_5": 0.2, "precision_at_10": 0.1, "precision_at_20": 0.05, "precision_at_100": 0.01, "precision_at_1000": 0.001, "mrr_at_1": 0.94, "mrr_at_3": 0.9566666666666666, "mrr_at_5": 0.9611666666666666, "mrr_at_10": 0.9611666666666666, "mrr_at_20": 0.9611666666666666, "mrr_at_100": 0.9611666666666666, "mrr_at_1000": 0.9611666666666666, "naucs_at_1_max": 0.8576097105508863, "naucs_at_1_std": 0.32555244319950205, "naucs_at_1_diff1": 0.9101307189542497, "naucs_at_3_max": 0.7770774976657261, "naucs_at_3_std": 0.4143323996265135, "naucs_at_3_diff1": 0.8611111111111119, "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_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}, "syntheticDocQA_healthcare_industry": {"ndcg_at_1": 0.99, "ndcg_at_3": 0.99631, "ndcg_at_5": 0.99631, "ndcg_at_10": 0.99631, "ndcg_at_20": 0.99631, "ndcg_at_100": 0.99631, "ndcg_at_1000": 0.99631, "map_at_1": 0.99, "map_at_3": 0.995, "map_at_5": 0.995, "map_at_10": 0.995, "map_at_20": 0.995, "map_at_100": 0.995, "map_at_1000": 0.995, "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_100": 1.0, "recall_at_1000": 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_100": 0.01, "precision_at_1000": 0.001, "mrr_at_1": 0.99, "mrr_at_3": 0.995, "mrr_at_5": 0.995, "mrr_at_10": 0.995, "mrr_at_20": 0.995, "mrr_at_100": 0.995, "mrr_at_1000": 0.995, "naucs_at_1_max": 0.12278244631185359, "naucs_at_1_std": -1.151727357609709, "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_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.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:88a3a6fcb80132f76da8aa40cdc3fccd7e5d8468ef15421f5b0c2715e85217d2
+size 11420538

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": "ColQwenStellaProcessor",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

training_config.yml

@@ -0,0 +1,75 @@
+config:
+  (): colpali_engine.trainer.colmodel_training.ColModelTrainingConfig
+  output_dir: !path ../../../models/qwenstella_8e-5_tabfquad_3e_cont_1e-5
+  processor:
+    (): colpali_engine.utils.transformers_wrappers.AllPurposeWrapper
+    class_to_instanciate: !ext colpali_engine.models.ColQwenStellaProcessor
+    pretrained_model_name_or_path:  "./models/qwenstella-base" #"vidore/colqwen2-base" #"./models/colqwen2-base" # "./models/paligemma-3b-mix-448"
+    # num_image_tokens: 2048
+    # max_length: 50
+
+  model:
+    (): colpali_engine.utils.transformers_wrappers.AllPurposeWrapper
+    class_to_instanciate: !ext colpali_engine.models.ColQwenStella
+    pretrained_model_name_or_path:  "./models/qwenstella-base" #"vidore/colqwen2-base"  #"./models/colqwen2-base"
+    torch_dtype:  !ext torch.bfloat16
+    # weights_only: false
+    # 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_mixed_train_set
+  eval_dataset_loader: !import ../data/test_data.yaml
+  pretrained_peft_model_name_or_path: models/qwenstella_8e-5_tabfquad_3e
+  # max_length: 50
+  run_eval: 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: 64
+    gradient_checkpointing: true
+    gradient_checkpointing_kwargs: { "use_reentrant": false }
+    # gradient_checkpointing: true
+    # 6 x 8 gpus = 48 batch size
+    gradient_accumulation_steps: 2
+    per_device_eval_batch_size: 32
+    eval_strategy: "steps"
+    dataloader_num_workers: 8
+    # bf16: true
+    save_steps: 100
+    logging_steps: 1
+    eval_steps: 400
+    warmup_steps: 100
+    learning_rate: 1e-5
+    save_total_limit: 100
+    lr_scheduler_type: cosine
+    # lr_scheduler_kwargs: min_lr
+    # resume_from_checkpoint: true
+    # optim: "paged_adamw_8bit"
+    # wandb logging
+    # wandb_name: "colqwen2"
+    run_name: "qwenstella_8e-5_tabfquad_3e_cont_1e-5"
+    report_to: "wandb"
+
+
+  peft_config:
+    (): peft.LoraConfig
+    r: 128
+    lora_alpha: 128
+    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).*$|.*(vector_linear_1024).*$|.*(vision_model).*(merger).*(mlp).*(0|2).*$)"
+    # target_modules: '(.*(language_model).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$|.*(custom_text_proj).*$)'
+