bart-large-chinese-cnhdwriter

This model is a fine-tuned version of fnlp/bart-large-chinese on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.3859
• Rouge1: 16.8496
• Rouge2: 2.5548
• Rougel: 16.8123
• Rougelsum: 16.8056
• Gen Len: 18.9357

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.2119	1.0	62716	1.1876	15.3858	2.1251	15.3709	15.3705	18.7269
1.0847	2.0	125432	1.3353	13.7743	1.9047	13.7664	13.7421	18.6183
0.6995	3.0	188148	1.2209	16.6797	2.3979	16.6258	16.6368	18.8953
0.4819	4.0	250864	1.3859	16.8496	2.5548	16.8123	16.8056	18.9357

Framework versions

• Transformers 4.15.0
• Pytorch 1.10.0+cu111
• Datasets 1.17.0
• Tokenizers 0.10.3