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- .gitattributes +5 -0
- README.md +58 -0
- adapter_config.json +37 -0
- adapter_model.safetensors +3 -0
- all_results.json +13 -0
- checkpoint-157/README.md +202 -0
- checkpoint-157/adapter_config.json +37 -0
- checkpoint-157/adapter_model.safetensors +3 -0
- checkpoint-157/optimizer.pt +3 -0
- checkpoint-157/preprocessor_config.json +25 -0
- checkpoint-157/rng_state_0.pth +3 -0
- checkpoint-157/rng_state_1.pth +3 -0
- checkpoint-157/rng_state_2.pth +3 -0
- checkpoint-157/rng_state_3.pth +3 -0
- checkpoint-157/rng_state_4.pth +3 -0
- checkpoint-157/rng_state_5.pth +3 -0
- checkpoint-157/rng_state_6.pth +3 -0
- checkpoint-157/rng_state_7.pth +3 -0
- checkpoint-157/scheduler.pt +3 -0
- checkpoint-157/special_tokens_map.json +39 -0
- checkpoint-157/tokenizer.json +3 -0
- checkpoint-157/tokenizer_config.json +0 -0
- checkpoint-157/trainer_state.json +106 -0
- checkpoint-157/training_args.bin +3 -0
- checkpoint-314/README.md +202 -0
- checkpoint-314/adapter_config.json +37 -0
- checkpoint-314/adapter_model.safetensors +3 -0
- checkpoint-314/optimizer.pt +3 -0
- checkpoint-314/preprocessor_config.json +25 -0
- checkpoint-314/rng_state_0.pth +3 -0
- checkpoint-314/rng_state_1.pth +3 -0
- checkpoint-314/rng_state_2.pth +3 -0
- checkpoint-314/rng_state_3.pth +3 -0
- checkpoint-314/rng_state_4.pth +3 -0
- checkpoint-314/rng_state_5.pth +3 -0
- checkpoint-314/rng_state_6.pth +3 -0
- checkpoint-314/rng_state_7.pth +3 -0
- checkpoint-314/scheduler.pt +3 -0
- checkpoint-314/special_tokens_map.json +39 -0
- checkpoint-314/tokenizer.json +3 -0
- checkpoint-314/tokenizer_config.json +0 -0
- checkpoint-314/trainer_state.json +179 -0
- checkpoint-314/training_args.bin +3 -0
- checkpoint-471/README.md +202 -0
- checkpoint-471/adapter_config.json +37 -0
- checkpoint-471/adapter_model.safetensors +3 -0
- checkpoint-471/optimizer.pt +3 -0
- checkpoint-471/preprocessor_config.json +25 -0
- checkpoint-471/rng_state_0.pth +3 -0
- checkpoint-471/rng_state_1.pth +3 -0
.gitattributes
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@@ -33,3 +33,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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checkpoint-157/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-314/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-471/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-627/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: google/paligemma2-3b-pt-224
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datasets: mateoguaman/vlmn_iphone_gates_cotrain_0.1_magicsoup_no_insta_sub5
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library_name: transformers
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model_name: /gscratch/weirdlab/mateogc/projects/vlm-navigation/data/paligemma2-3b-pt-224-sft-lora-magicsoup_no_cfiphone_no_insta_sub5
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tags:
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- generated_from_trainer
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- alignment-handbook
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licence: license
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---
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# Model Card for /gscratch/weirdlab/mateogc/projects/vlm-navigation/data/paligemma2-3b-pt-224-sft-lora-magicsoup_no_cfiphone_no_insta_sub5
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This model is a fine-tuned version of [google/paligemma2-3b-pt-224](https://huggingface.co/google/paligemma2-3b-pt-224) on the [mateoguaman/vlmn_iphone_gates_cotrain_0.1_magicsoup_no_insta_sub5](https://huggingface.co/datasets/mateoguaman/vlmn_iphone_gates_cotrain_0.1_magicsoup_no_insta_sub5) dataset.
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="None", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/mateoguaman/paligemma2-3b-pt-224-sft-lora-iphone_gates_cotrain_0.1_magicsoup_no_insta_sub5/runs/0zrdcxgy)
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.15.2
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- Transformers: 4.49.0
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- Pytorch: 2.6.0
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- Datasets: 3.4.1
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- Tokenizers: 0.21.1
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## Citations
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "google/paligemma2-3b-pt-224",
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"bias": "none",
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_bias": false,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"v_proj",
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"k_proj",
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"q_proj",
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"gate_proj",
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"down_proj",
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"up_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:86508835b03c8804dbfbdd923eac68bf4d9a05c950c859b45e2d6449b73deb91
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size 95091000
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all_results.json
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{
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"eval_loss": 2.694655179977417,
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"eval_runtime": 66.0317,
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"eval_samples": 9832,
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"eval_samples_per_second": 148.898,
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"eval_steps_per_second": 2.332,
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"total_flos": 1.6545523447313203e+17,
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"train_loss": 2.507940781743903,
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"train_runtime": 1172.0392,
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"train_samples": 40086,
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"train_samples_per_second": 34.202,
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"train_steps_per_second": 0.535
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}
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checkpoint-157/README.md
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---
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base_model: google/paligemma2-3b-pt-224
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library_name: peft
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- 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. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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+
|
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+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
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+
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).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
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|
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+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
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|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
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+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
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+
|
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- PEFT 0.14.0
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|
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|
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}
|
checkpoint-157/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3d9d17829fb8138ba7d2faee44d77ac1a9b2d65c100167c2c3125a75640d1235
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size 5816
|
checkpoint-314/README.md
ADDED
@@ -0,0 +1,202 @@
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|
1 |
+
---
|
2 |
+
base_model: google/paligemma2-3b-pt-224
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- 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. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
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).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.14.0
|
checkpoint-314/adapter_config.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
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|
1 |
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{
|
2 |
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"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "google/paligemma2-3b-pt-224",
|
5 |
+
"bias": "none",
|
6 |
+
"eva_config": null,
|
7 |
+
"exclude_modules": null,
|
8 |
+
"fan_in_fan_out": false,
|
9 |
+
"inference_mode": true,
|
10 |
+
"init_lora_weights": true,
|
11 |
+
"layer_replication": null,
|
12 |
+
"layers_pattern": null,
|
13 |
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"layers_to_transform": null,
|
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|
15 |
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|
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|
17 |
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"lora_dropout": 0.05,
|
18 |
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"megatron_config": null,
|
19 |
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"megatron_core": "megatron.core",
|
20 |
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"modules_to_save": null,
|
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|
22 |
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"r": 16,
|
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"rank_pattern": {},
|
24 |
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"revision": null,
|
25 |
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"target_modules": [
|
26 |
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"o_proj",
|
27 |
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|
28 |
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"k_proj",
|
29 |
+
"q_proj",
|
30 |
+
"gate_proj",
|
31 |
+
"down_proj",
|
32 |
+
"up_proj"
|
33 |
+
],
|
34 |
+
"task_type": "CAUSAL_LM",
|
35 |
+
"use_dora": false,
|
36 |
+
"use_rslora": false
|
37 |
+
}
|
checkpoint-314/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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checkpoint-314/optimizer.pt
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checkpoint-314/preprocessor_config.json
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|
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|
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checkpoint-314/training_args.bin
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checkpoint-471/README.md
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---
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2 |
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base_model: google/paligemma2-3b-pt-224
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3 |
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library_name: peft
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4 |
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---
|
5 |
+
|
6 |
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# Model Card for Model ID
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7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
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## Model Details
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13 |
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|
14 |
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### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
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|
19 |
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|
20 |
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- **Developed by:** [More Information Needed]
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21 |
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- **Funded by [optional]:** [More Information Needed]
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22 |
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- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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|
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## Uses
|
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|
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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|
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### Direct Use
|
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|
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
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|
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[More Information Needed]
|
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|
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### Downstream Use [optional]
|
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+
|
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+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
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[More Information Needed]
|
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|
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### Out-of-Scope Use
|
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+
|
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+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
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|
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[More Information Needed]
|
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+
|
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## Bias, Risks, and Limitations
|
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|
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+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
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|
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[More Information Needed]
|
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|
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### Recommendations
|
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|
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+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
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+
|
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+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
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+
|
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## How to Get Started with the Model
|
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|
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Use the code below to get started with the model.
|
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|
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[More Information Needed]
|
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|
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## Training Details
|
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|
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### Training Data
|
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|
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<!-- 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. -->
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[More Information Needed]
|
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+
|
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### Training Procedure
|
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|
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
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|
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#### Preprocessing [optional]
|
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|
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[More Information Needed]
|
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|
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+
|
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#### Training Hyperparameters
|
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|
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
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|
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#### Speeds, Sizes, Times [optional]
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|
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
|
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|
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## Evaluation
|
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|
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<!-- This section describes the evaluation protocols and provides the results. -->
|
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|
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### Testing Data, Factors & Metrics
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#### Testing Data
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|
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<!-- This should link to a Dataset Card if possible. -->
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|
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[More Information Needed]
|
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|
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#### Factors
|
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|
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
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|
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[More Information Needed]
|
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|
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#### Metrics
|
122 |
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|
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+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
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|
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[More Information Needed]
|
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|
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+
### Results
|
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|
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[More Information Needed]
|
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|
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#### Summary
|
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|
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|
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|
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## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
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+
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).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
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|
161 |
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[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
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|
165 |
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[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
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[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.14.0
|
checkpoint-471/adapter_config.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
1 |
+
{
|
2 |
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"alpha_pattern": {},
|
3 |
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"auto_mapping": null,
|
4 |
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"base_model_name_or_path": "google/paligemma2-3b-pt-224",
|
5 |
+
"bias": "none",
|
6 |
+
"eva_config": null,
|
7 |
+
"exclude_modules": null,
|
8 |
+
"fan_in_fan_out": false,
|
9 |
+
"inference_mode": true,
|
10 |
+
"init_lora_weights": true,
|
11 |
+
"layer_replication": null,
|
12 |
+
"layers_pattern": null,
|
13 |
+
"layers_to_transform": null,
|
14 |
+
"loftq_config": {},
|
15 |
+
"lora_alpha": 16,
|
16 |
+
"lora_bias": false,
|
17 |
+
"lora_dropout": 0.05,
|
18 |
+
"megatron_config": null,
|
19 |
+
"megatron_core": "megatron.core",
|
20 |
+
"modules_to_save": null,
|
21 |
+
"peft_type": "LORA",
|
22 |
+
"r": 16,
|
23 |
+
"rank_pattern": {},
|
24 |
+
"revision": null,
|
25 |
+
"target_modules": [
|
26 |
+
"o_proj",
|
27 |
+
"v_proj",
|
28 |
+
"k_proj",
|
29 |
+
"q_proj",
|
30 |
+
"gate_proj",
|
31 |
+
"down_proj",
|
32 |
+
"up_proj"
|
33 |
+
],
|
34 |
+
"task_type": "CAUSAL_LM",
|
35 |
+
"use_dora": false,
|
36 |
+
"use_rslora": false
|
37 |
+
}
|
checkpoint-471/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
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oid sha256:b1ed32d62b3fc02c2273727f0b50173fc09700907ccfcd0bd3671fa208d70758
|
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+
size 95091000
|
checkpoint-471/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:cbc51ca113e69636e67ef0a729eeb3724b23ee7c6396a56b2ff745c5e9e31c2a
|
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size 190464380
|
checkpoint-471/preprocessor_config.json
ADDED
@@ -0,0 +1,25 @@
|
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
1 |
+
{
|
2 |
+
"do_convert_rgb": null,
|
3 |
+
"do_normalize": true,
|
4 |
+
"do_rescale": true,
|
5 |
+
"do_resize": true,
|
6 |
+
"image_mean": [
|
7 |
+
0.5,
|
8 |
+
0.5,
|
9 |
+
0.5
|
10 |
+
],
|
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+
"image_processor_type": "SiglipImageProcessor",
|
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+
"image_seq_length": 256,
|
13 |
+
"image_std": [
|
14 |
+
0.5,
|
15 |
+
0.5,
|
16 |
+
0.5
|
17 |
+
],
|
18 |
+
"processor_class": "PaliGemmaProcessor",
|
19 |
+
"resample": 3,
|
20 |
+
"rescale_factor": 0.00392156862745098,
|
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+
"size": {
|
22 |
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"height": 224,
|
23 |
+
"width": 224
|
24 |
+
}
|
25 |
+
}
|
checkpoint-471/rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
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|
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|
|
|
|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:d592faee2c0174123b48dfc8f8773166c61cde6339c24a99d64c3b3513d46225
|
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size 15984
|
checkpoint-471/rng_state_1.pth
ADDED
@@ -0,0 +1,3 @@
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|
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:c7f81506c0c9b51b584dc873ba330b1f77ee89074812dd56b381e2e9db4aacba
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size 15984
|