| 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 |