RULECT_N40_V15_P15

This model is a fine-tuned version of mika5883/Pretrained_ReCl8 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0990
• Bleu: 93.0394
• Gen Len: 23.5272

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: 3.83229e-05
• train_batch_size: 64
• eval_batch_size: 64
• 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
0.257	1.0	4430	0.1217	91.897	23.5236
0.228	2.0	8860	0.0990	93.0394	23.5272

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2