Download hparams.yaml from autom4ta/cd-erc-roberta-dailydialog: direct link, hf CLI and curl.
- Browser
- Download file 245 Bytes
-
https://huggingface.co/autom4ta/cd-erc-roberta-dailydialog/resolve/main/hparams.yaml
- Command line
-
hf download hf://autom4ta/cd-erc-roberta-dailydialog/hparams.yaml
-
curl -L -o hparams.yaml https://huggingface.co/autom4ta/cd-erc-roberta-dailydialog/resolve/main/hparams.yaml
245 Bytes
| batch_size: 4 | |
| context: true | |
| context_turns: 3 | |
| dataset: dailydialog | |
| dataset_path: data/dailydialog/ | |
| encoder_learning_rate: 1.0e-05 | |
| labels: dailydialog | |
| layerwise_decay: 0.95 | |
| learning_rate: 5.0e-05 | |
| nr_frozen_epochs: 1 | |
| pretrained_model: roberta-base | |