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Dataset
| Task | Num |
|---|---|
| Grounding | 20973 |
| Classification | 30000 |
| total | 50973 |
Note: the difference of sft_v3 and sft_v2 is the num of training data, i.e., sft_v3 has near 10 times as much training data as sft_v2.
Train
Global Batchsize: 32
LoRA Rank: 32
1 epoch ~= 1600 step
Eval
| Chexpert (macro F1) | MS-CXR | ChestXray | Vindr-cxr | Overall | |
|---|---|---|---|---|---|
| chexfound | 51.1 | \ | \ | \ | |
| eva-x | 41.2 | \ | \ | \ | |
| unichest | 60.7 | \ | \ | \ | |
| sft-v3-step1000 | 60.8 | 38.2 | 20.7 | 27.9 | 36.90 |
| sft-v3-step1250 | 55.6 | 46.0 | 19.2 | 30.9 | 37.92 |
| sft-v3-step1500 | 61.4 | 52.3 | 22.6 | 31.8 | 42.02 |
| sft-v3-step1750 | 59.5 | 49.9 | 23.2 | 30.5 | 40.77 |
| sft-v3-step2000 | 62.7 | 52.5 | 23.2 | 32.2 | 42.65 |
| sft-v3-step2250 | 62.0 | 54.7 | 22.4 | 32.9 | 43.00 |
| sft-v3-step2500 | 56.6 | 56.2 | 23.6 | 32.6 | 42.25 |
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