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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: UCSC-VLAA/VLAA-Thinker-Qwen2.5VL-3B |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: spacethinker-lora |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# spacethinker-lora |
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This model is a fine-tuned version of [UCSC-VLAA/VLAA-Thinker-Qwen2.5VL-3B](https://huggingface.co/UCSC-VLAA/VLAA-Thinker-Qwen2.5VL-3B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9785 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 2 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.548 | 0.0280 | 10 | 2.3356 | |
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| 2.2084 | 0.0561 | 20 | 2.1089 | |
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| 2.0353 | 0.0841 | 30 | 1.9475 | |
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| 1.8831 | 0.1121 | 40 | 1.7890 | |
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| 1.7139 | 0.1402 | 50 | 1.5906 | |
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| 1.524 | 0.1682 | 60 | 1.4117 | |
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| 1.3676 | 0.1962 | 70 | 1.3128 | |
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| 1.3054 | 0.2242 | 80 | 1.2428 | |
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| 1.2321 | 0.2523 | 90 | 1.1900 | |
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| 1.1896 | 0.2803 | 100 | 1.1618 | |
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| 1.1824 | 0.3083 | 110 | 1.1319 | |
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| 1.122 | 0.3364 | 120 | 1.1163 | |
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| 1.1403 | 0.3644 | 130 | 1.1027 | |
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| 1.13 | 0.3924 | 140 | 1.0911 | |
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| 1.0914 | 0.4205 | 150 | 1.0831 | |
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| 1.1097 | 0.4485 | 160 | 1.0772 | |
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| 1.0938 | 0.4765 | 170 | 1.0724 | |
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| 1.0947 | 0.5046 | 180 | 1.0688 | |
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| 1.0737 | 0.5326 | 190 | 1.0650 | |
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| 1.0742 | 0.5606 | 200 | 1.0613 | |
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| 1.0755 | 0.5886 | 210 | 1.0583 | |
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| 1.0797 | 0.6167 | 220 | 1.0549 | |
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| 1.0644 | 0.6447 | 230 | 1.0528 | |
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| 1.0834 | 0.6727 | 240 | 1.0507 | |
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| 1.0617 | 0.7008 | 250 | 1.0481 | |
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| 1.0713 | 0.7288 | 260 | 1.0460 | |
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| 1.0602 | 0.7568 | 270 | 1.0437 | |
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| 1.0581 | 0.7849 | 280 | 1.0414 | |
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| 1.0652 | 0.8129 | 290 | 1.0395 | |
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| 1.0597 | 0.8409 | 300 | 1.0377 | |
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| 1.0551 | 0.8690 | 310 | 1.0360 | |
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| 1.0525 | 0.8970 | 320 | 1.0344 | |
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| 1.0442 | 0.9250 | 330 | 1.0327 | |
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| 1.032 | 0.9530 | 340 | 1.0307 | |
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| 1.0553 | 0.9811 | 350 | 1.0293 | |
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| 1.1467 | 1.0112 | 360 | 1.0282 | |
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| 1.0378 | 1.0392 | 370 | 1.0263 | |
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| 1.0568 | 1.0673 | 380 | 1.0247 | |
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| 1.0298 | 1.0953 | 390 | 1.0240 | |
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| 1.0403 | 1.1233 | 400 | 1.0221 | |
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| 1.051 | 1.1514 | 410 | 1.0215 | |
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| 1.0289 | 1.1794 | 420 | 1.0198 | |
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| 1.0389 | 1.2074 | 430 | 1.0190 | |
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| 1.0348 | 1.2355 | 440 | 1.0175 | |
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| 1.0379 | 1.2635 | 450 | 1.0161 | |
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| 1.0507 | 1.2915 | 460 | 1.0152 | |
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| 1.0195 | 1.3196 | 470 | 1.0142 | |
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| 1.0084 | 1.3476 | 480 | 1.0125 | |
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| 1.0317 | 1.3756 | 490 | 1.0115 | |
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| 1.0319 | 1.4036 | 500 | 1.0107 | |
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| 1.0193 | 1.4317 | 510 | 1.0094 | |
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| 1.034 | 1.4597 | 520 | 1.0089 | |
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| 1.0311 | 1.4877 | 530 | 1.0077 | |
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| 1.0497 | 1.5158 | 540 | 1.0071 | |
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| 1.0417 | 1.5438 | 550 | 1.0061 | |
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| 1.0307 | 1.5718 | 560 | 1.0049 | |
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| 1.0028 | 1.5999 | 570 | 1.0042 | |
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| 1.0192 | 1.6279 | 580 | 1.0036 | |
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| 1.007 | 1.6559 | 590 | 1.0023 | |
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| 1.0378 | 1.6840 | 600 | 1.0020 | |
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| 0.9979 | 1.7120 | 610 | 1.0011 | |
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| 1.0169 | 1.7400 | 620 | 1.0004 | |
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| 1.0148 | 1.7680 | 630 | 0.9999 | |
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| 1.0095 | 1.7961 | 640 | 0.9989 | |
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| 1.0252 | 1.8241 | 650 | 0.9984 | |
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| 0.9891 | 1.8521 | 660 | 0.9983 | |
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| 1.0598 | 1.8802 | 670 | 0.9969 | |
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| 1.0158 | 1.9082 | 680 | 0.9964 | |
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| 1.019 | 1.9362 | 690 | 0.9961 | |
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| 0.9979 | 1.9643 | 700 | 0.9949 | |
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| 1.0312 | 1.9923 | 710 | 0.9946 | |
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| 1.084 | 2.0224 | 720 | 0.9938 | |
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| 0.9932 | 2.0505 | 730 | 0.9937 | |
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| 0.9932 | 2.0785 | 740 | 0.9930 | |
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| 1.0138 | 2.1065 | 750 | 0.9921 | |
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| 1.002 | 2.1345 | 760 | 0.9921 | |
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| 1.0291 | 2.1626 | 770 | 0.9914 | |
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| 1.0171 | 2.1906 | 780 | 0.9908 | |
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| 0.9959 | 2.2186 | 790 | 0.9902 | |
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| 1.0181 | 2.2467 | 800 | 0.9897 | |
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| 0.9856 | 2.2747 | 810 | 0.9893 | |
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| 1.0141 | 2.3027 | 820 | 0.9888 | |
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| 1.0305 | 2.3308 | 830 | 0.9883 | |
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| 0.9911 | 2.3588 | 840 | 0.9875 | |
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| 0.996 | 2.3868 | 850 | 0.9877 | |
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| 0.984 | 2.4149 | 860 | 0.9869 | |
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| 0.9964 | 2.4429 | 870 | 0.9864 | |
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| 1.0101 | 2.4709 | 880 | 0.9856 | |
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| 0.9934 | 2.4989 | 890 | 0.9853 | |
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| 1.0432 | 2.5270 | 900 | 0.9848 | |
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| 0.9918 | 2.5550 | 910 | 0.9843 | |
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| 0.9977 | 2.5830 | 920 | 0.9844 | |
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| 1.009 | 2.6111 | 930 | 0.9834 | |
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| 0.9994 | 2.6391 | 940 | 0.9837 | |
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| 0.9972 | 2.6671 | 950 | 0.9830 | |
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| 1.0043 | 2.6952 | 960 | 0.9827 | |
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| 1.0005 | 2.7232 | 970 | 0.9823 | |
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| 0.9888 | 2.7512 | 980 | 0.9820 | |
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| 0.9917 | 2.7793 | 990 | 0.9813 | |
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| 1.0036 | 2.8073 | 1000 | 0.9810 | |
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| 0.984 | 2.8353 | 1010 | 0.9803 | |
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| 0.9696 | 2.8633 | 1020 | 0.9798 | |
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| 1.0062 | 2.8914 | 1030 | 0.9798 | |
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| 1.0001 | 2.9194 | 1040 | 0.9793 | |
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| 1.0214 | 2.9474 | 1050 | 0.9796 | |
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| 1.0106 | 2.9755 | 1060 | 0.9785 | |
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### Framework versions |
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- PEFT 0.15.1 |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
