Download train_config.json from saba-ab/ka_normalize: direct link, hf CLI and curl.
- Browser
- Download file 573 Bytes
-
https://huggingface.co/saba-ab/ka_normalize/resolve/main/train_config.json
- Command line
-
hf download hf://saba-ab/ka_normalize/train_config.json
-
curl -L -o train_config.json https://huggingface.co/saba-ab/ka_normalize/resolve/main/train_config.json
573 Bytes
| { | |
| "model_name": "google/byt5-small", | |
| "revision": "68377bdc18a2ffec8a0533fef03b1c513a4dd49d", | |
| "train_file": "data/processed/train.tsv", | |
| "valid_file": "data/processed/valid.tsv", | |
| "output_dir": "models/run", | |
| "best_dir": "models/best", | |
| "n_train": 200000, | |
| "n_eval": 2000, | |
| "max_source_length": 256, | |
| "max_target_length": 640, | |
| "learning_rate": 0.0003, | |
| "optim": "adafactor", | |
| "per_device_batch": 16, | |
| "grad_accum": 2, | |
| "epochs": 1.0, | |
| "max_steps": -1, | |
| "warmup_steps": 200, | |
| "eval_steps": 1000, | |
| "eval_batch": 64, | |
| "logging_steps": 50, | |
| "seed": 42 | |
| } |