File size: 6,671 Bytes
e224c94 ad8abce e224c94 ad8abce e224c94 ad8abce e224c94 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 |
---
library_name: peft
license: apache-2.0
base_model: AdaptLLM/biomed-Qwen2-VL-2B-Instruct
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: qwenvl-2B-cadica-stenosis-classify-scale4-frozenVision
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# qwenvl-2B-cadica-stenosis-classify-scale4-frozenVision
This model is a fine-tuned version of [AdaptLLM/biomed-Qwen2-VL-2B-Instruct](https://huggingface.co/AdaptLLM/biomed-Qwen2-VL-2B-Instruct) on the CADICA狹窄分析選擇題scale4(TRAIN) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6319
- Num Input Tokens Seen: 39760664
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 6
- total_train_batch_size: 24
- total_eval_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 3400
### Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| 0.9157 | 0.0258 | 50 | 0.9192 | 584856 |
| 0.901 | 0.0515 | 100 | 0.9078 | 1169664 |
| 0.9032 | 0.0773 | 150 | 0.8962 | 1754512 |
| 0.9053 | 0.1030 | 200 | 0.8982 | 2339304 |
| 0.9098 | 0.1288 | 250 | 0.8956 | 2924016 |
| 0.8893 | 0.1545 | 300 | 0.8909 | 3508888 |
| 0.9075 | 0.1803 | 350 | 0.8920 | 4093688 |
| 0.9004 | 0.2060 | 400 | 0.9086 | 4678384 |
| 0.9076 | 0.2318 | 450 | 0.8962 | 5263304 |
| 0.8962 | 0.2575 | 500 | 0.8988 | 5848048 |
| 0.9013 | 0.2833 | 550 | 0.9001 | 6432936 |
| 0.9046 | 0.3090 | 600 | 0.9053 | 7017576 |
| 0.904 | 0.3348 | 650 | 0.9033 | 7602512 |
| 0.8972 | 0.3605 | 700 | 0.9029 | 8187320 |
| 0.9005 | 0.3863 | 750 | 0.8982 | 8772104 |
| 0.8881 | 0.4121 | 800 | 0.8973 | 9357016 |
| 0.9035 | 0.4378 | 850 | 0.8779 | 9941896 |
| 0.8961 | 0.4636 | 900 | 0.8914 | 10526712 |
| 0.8852 | 0.4893 | 950 | 0.8916 | 11111520 |
| 0.8635 | 0.5151 | 1000 | 0.8602 | 11696200 |
| 0.8844 | 0.5408 | 1050 | 0.8446 | 12281072 |
| 0.8427 | 0.5666 | 1100 | 0.7743 | 12865992 |
| 0.8185 | 0.5923 | 1150 | 0.7827 | 13450720 |
| 0.8061 | 0.6181 | 1200 | 0.7594 | 14035544 |
| 0.7917 | 0.6438 | 1250 | 0.7407 | 14620336 |
| 0.7724 | 0.6696 | 1300 | 0.7190 | 15205064 |
| 0.7278 | 0.6953 | 1350 | 0.7129 | 15789848 |
| 0.7359 | 0.7211 | 1400 | 0.6644 | 16374784 |
| 0.6291 | 0.7468 | 1450 | 0.7531 | 16959632 |
| 0.6021 | 0.7726 | 1500 | 0.6329 | 17544440 |
| 0.667 | 0.7984 | 1550 | 0.6618 | 18129304 |
| 0.6564 | 0.8241 | 1600 | 0.6319 | 18714072 |
| 0.5668 | 0.8499 | 1650 | 0.6635 | 19298848 |
| 0.5701 | 0.8756 | 1700 | 0.7144 | 19883504 |
| 0.546 | 0.9014 | 1750 | 0.6723 | 20468200 |
| 0.412 | 0.9271 | 1800 | 0.6769 | 21053080 |
| 0.4347 | 0.9529 | 1850 | 0.6808 | 21637848 |
| 0.3737 | 0.9786 | 1900 | 0.7730 | 22222632 |
| 0.3783 | 1.0041 | 1950 | 0.6983 | 22801512 |
| 0.3328 | 1.0299 | 2000 | 0.7485 | 23386232 |
| 0.3602 | 1.0556 | 2050 | 0.7191 | 23971048 |
| 0.3351 | 1.0814 | 2100 | 0.8075 | 24555904 |
| 0.3699 | 1.1071 | 2150 | 0.8524 | 25140752 |
| 0.4016 | 1.1329 | 2200 | 0.7535 | 25725560 |
| 0.3442 | 1.1586 | 2250 | 0.7066 | 26310336 |
| 0.3877 | 1.1844 | 2300 | 0.7277 | 26895096 |
| 0.3871 | 1.2101 | 2350 | 0.7660 | 27479840 |
| 0.3486 | 1.2359 | 2400 | 0.7411 | 28064552 |
| 0.2966 | 1.2617 | 2450 | 0.7486 | 28649256 |
| 0.3221 | 1.2874 | 2500 | 0.7222 | 29233968 |
| 0.3231 | 1.3132 | 2550 | 0.7146 | 29818856 |
| 0.2779 | 1.3389 | 2600 | 0.6957 | 30403640 |
| 0.2962 | 1.3647 | 2650 | 0.7657 | 30988344 |
| 0.3163 | 1.3904 | 2700 | 0.7473 | 31573240 |
| 0.164 | 1.4162 | 2750 | 0.7807 | 32158144 |
| 0.2939 | 1.4419 | 2800 | 0.7913 | 32743032 |
| 0.2848 | 1.4677 | 2850 | 0.8045 | 33327720 |
| 0.29 | 1.4934 | 2900 | 0.8113 | 33912440 |
| 0.2494 | 1.5192 | 2950 | 0.8177 | 34497216 |
| 0.2259 | 1.5449 | 3000 | 0.8406 | 35082056 |
| 0.2851 | 1.5707 | 3050 | 0.8474 | 35666976 |
| 0.2351 | 1.5964 | 3100 | 0.8651 | 36251744 |
| 0.2638 | 1.6222 | 3150 | 0.8634 | 36836560 |
| 0.312 | 1.6480 | 3200 | 0.8680 | 37421416 |
| 0.2785 | 1.6737 | 3250 | 0.8640 | 38006200 |
| 0.2752 | 1.6995 | 3300 | 0.8644 | 38591128 |
| 0.2674 | 1.7252 | 3350 | 0.8666 | 39175888 |
| 0.1797 | 1.7510 | 3400 | 0.8603 | 39760664 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.47.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3 |