=== POPE done, TextVQA start воскресенье, 19 июля 2026 г. 00:21:10 (+07) ===
Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.

Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]
Loading checkpoint shards: 100%|██████████| 3/3 [00:00<00:00, 29.32it/s]
Loading checkpoint shards: 100%|██████████| 3/3 [00:00<00:00, 29.26it/s]
loaded llava-hf/llava-1.5-7b-hf on mps/torch.float16
TextVQA: 60 examples
  10/60 608s (60.8s/ex)
  20/60 889s (44.5s/ex)
  30/60 1167s (38.9s/ex)
  40/60 1469s (36.7s/ex)
  50/60 1736s (34.7s/ex)
  60/60 2070s (34.5s/ex)
{
  "vanilla@576": {
    "correct": 23.666666666666664,
    "total": 60,
    "accuracy": 39.44444444444444
  },
  "split@192": {
    "correct": 19.666666666666664,
    "total": 60,
    "accuracy": 32.77777777777778
  },
  "split@128": {
    "correct": 19.0,
    "total": 60,
    "accuracy": 31.666666666666668
  },
  "split@64": {
    "correct": 18.0,
    "total": 60,
    "accuracy": 30.0
  },
  "random@192": {
    "correct": 17.333333333333336,
    "total": 60,
    "accuracy": 28.888888888888893
  },
  "random@128": {
    "correct": 13.333333333333332,
    "total": 60,
    "accuracy": 22.22222222222222
  },
  "random@64": {
    "correct": 6.0,
    "total": 60,
    "accuracy": 10.0
  },
  "attn@192": {
    "correct": 25.0,
    "total": 60,
    "accuracy": 41.666666666666664
  },
  "attn@128": {
    "correct": 24.333333333333332,
    "total": 60,
    "accuracy": 40.55555555555555
  },
  "attn@64": {
    "correct": 24.0,
    "total": 60,
    "accuracy": 40.0
  }
}
wrote outputs/textvqa_results.json
=== TextVQA done, ScienceQA start воскресенье, 19 июля 2026 г. 00:56:15 (+07) ===
Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.

Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]
Loading checkpoint shards: 100%|██████████| 3/3 [00:00<00:00, 28.88it/s]
Loading checkpoint shards: 100%|██████████| 3/3 [00:00<00:00, 28.82it/s]
loaded llava-hf/llava-1.5-7b-hf on mps/torch.float16
ScienceQA-IMG: 60 examples
  10/60 206s (20.6s/ex)
  20/60 410s (20.5s/ex)
  30/60 616s (20.5s/ex)
  40/60 802s (20.1s/ex)
  50/60 923s (18.5s/ex)
  60/60 1044s (17.4s/ex)
{
  "vanilla@576": {
    "correct": 40.0,
    "total": 60,
    "accuracy": 66.66666666666667
  },
  "split@192": {
    "correct": 39.0,
    "total": 60,
    "accuracy": 65.0
  },
  "split@128": {
    "correct": 37.0,
    "total": 60,
    "accuracy": 61.666666666666664
  },
  "split@64": {
    "correct": 37.0,
    "total": 60,
    "accuracy": 61.666666666666664
  },
  "random@192": {
    "correct": 38.0,
    "total": 60,
    "accuracy": 63.333333333333336
  },
  "random@128": {
    "correct": 38.0,
    "total": 60,
    "accuracy": 63.333333333333336
  },
  "random@64": {
    "correct": 37.0,
    "total": 60,
    "accuracy": 61.666666666666664
  },
  "attn@192": {
    "correct": 38.0,
    "total": 60,
    "accuracy": 63.333333333333336
  },
  "attn@128": {
    "correct": 38.0,
    "total": 60,
    "accuracy": 63.333333333333336
  },
  "attn@64": {
    "correct": 39.0,
    "total": 60,
    "accuracy": 65.0
  }
}
wrote outputs/scienceqa_results.json
=== CHAIN2 DONE воскресенье, 19 июля 2026 г. 01:14:09 (+07) ===