text-normalization-ru-new

This model is a fine-tuned version of alexue4/text-normalization-ru-new on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0008
• Mean Distance: 0
• Max Distance: 3

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: 0.0001
• train_batch_size: 150
• eval_batch_size: 150
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Distance	Max Distance
0.0004	1.0	3059	0.0022	0	12
0.0003	2.0	6118	0.0011	0	5
0.0003	3.0	9177	0.0010	0	6
0.0003	4.0	12236	0.0012	0	3
0.0003	5.0	15295	0.0008	0	3
0.0002	6.0	18354	0.0009	0	3
0.0002	7.0	21413	0.0008	0	3
0.0002	8.0	24472	0.0008	0	3
0.0002	9.0	27531	0.0007	0	3
0.0002	10.0	30590	0.0008	0	3
0.0002	11.0	33649	0.0008	0	3
0.0002	12.0	36708	0.0008	0	3
0.0002	13.0	39767	0.0008	0	3
0.0002	14.0	42826	0.0008	0	3
0.0002	15.0	45885	0.0008	0	3

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1