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model:
arch: unimernet
model_type: unimernet
model_config:
model_name: ./models/unimernet_base
max_seq_len: 1536
load_pretrained: True
pretrained: './models/unimernet_base/pytorch_model.pth'
tokenizer_config:
path: ./models/unimernet_base
datasets:
formula_rec_eval:
vis_processor:
eval:
name: "formula_image_eval"
image_size:
- 192
- 672
run:
runner: runner_iter
task: unimernet_train
batch_size_train: 64
batch_size_eval: 64
num_workers: 1
iters_per_inner_epoch: 2000
max_iters: 60000
seed: 42
output_dir: "../output/demo"
evaluate: True
test_splits: [ "eval" ]
device: "cuda"
world_size: 1
dist_url: "env://"
distributed: True
distributed_type: ddp # or fsdp when train llm
generate_cfg:
temperature: 0.0 |