HingFlow

It achieves the following results on the evaluation set:

• Loss: 0.1887
• Bleu: 72.3468
• Gen Len: 5.9953

Model description

https://github.com/SRDdev/HingFlow

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.1505	1.0	1000	0.2053	71.6108	5.8418
0.1057	2.0	2000	0.1887	72.3468	5.9953

Framework versions

• Transformers 4.29.0
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3