Model save
Browse files- README.md +58 -0
- adapter_model.safetensors +1 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
- training.log +2 -0
README.md
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---
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base_model: google/paligemma2-3b-pt-224
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library_name: transformers
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model_name: paligemma2-3b-pt-224-sft-lora-tartandrive-only_rdp
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tags:
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- generated_from_trainer
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- trl
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- sft
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licence: license
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---
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# Model Card for paligemma2-3b-pt-224-sft-lora-tartandrive-only_rdp
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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).
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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="mateoguaman/paligemma2-3b-pt-224-sft-lora-tartandrive-only_rdp", 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-tartandrive-only_rdp/runs/eru1egy7)
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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_model.safetensors
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size 95091000
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all_results.json
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{
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"total_flos": 1.3027532353411482e+18,
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"train_loss": 2.5727180697723186,
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"train_runtime": 17660.899,
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"train_samples": 63052,
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"train_samples_per_second": 17.851,
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"train_steps_per_second": 0.558
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}
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train_results.json
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{
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"total_flos": 1.3027532353411482e+18,
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"train_loss": 2.5727180697723186,
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"train_runtime": 17660.899,
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"train_samples": 63052,
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"train_samples_per_second": 17.851,
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"train_steps_per_second": 0.558
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}
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trainer_state.json
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training.log
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2025-04-26 01:49:52 - INFO - __main__ - Loaded model is not a PeftModel. Getting PEFT config based on model_args.
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2025-04-26 01:49:54 - WARNING - accelerate.utils.other - Detected kernel version 4.18.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
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2025-04-26 01:50:22 - INFO - __main__ - *** Train ***
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2025-04-26 01:49:52 - INFO - __main__ - Loaded model is not a PeftModel. Getting PEFT config based on model_args.
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2025-04-26 01:49:54 - WARNING - accelerate.utils.other - Detected kernel version 4.18.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
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2025-04-26 01:50:22 - INFO - __main__ - *** Train ***
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2025-04-26 06:44:46 - WARNING - huggingface_hub.hf_api - No files have been modified since last commit. Skipping to prevent empty commit.
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2025-04-26 06:44:46 - INFO - __main__ - *** Save model ***
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