mt5-base-finetuned-persian

This model is a fine-tuned version of google/mt5-base on the xlsum dataset. It achieves the following results on the evaluation set:

• Loss: 3.6086
• Rouge-1: 22.02
• Rouge-2: 7.41
• Rouge-l: 18.95
• Gen Len: 19.0
• Bertscore: 69.89

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: 0.0005
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge-1	Rouge-2	Rouge-l	Gen Len	Bertscore
7.2823	0.96	19	3.9800	19.78	5.57	16.24	19.0	68.19
4.7334	1.96	38	3.7620	20.92	7.49	18.27	18.91	68.72
4.3891	2.96	57	3.6349	21.07	7.66	18.53	18.96	69.73
4.2	3.96	76	3.6315	19.63	6.49	16.61	19.0	69.15
3.9202	4.96	95	3.6086	21.2	6.8	17.06	19.0	69.48

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0+cu113
• Datasets 2.1.0
• Tokenizers 0.12.1