xlmroberta2xlmroberta-finetuned-ar-wikilingua

This model is a fine-tuned version of on the wiki_lingua dataset. It achieves the following results on the evaluation set:

• Loss: 4.7757
• Rouge-1: 11.2
• Rouge-2: 1.96
• Rouge-l: 10.28
• Gen Len: 19.8
• Bertscore: 66.27

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 250
• num_epochs: 10
• label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge-1	Rouge-2	Rouge-l	Gen Len	Bertscore
8.03	1.0	312	7.3208	0.19	0.0	0.19	20.0	54.84
7.2309	2.0	624	7.1107	1.17	0.03	1.16	20.0	60.0
7.0752	3.0	936	7.0061	2.58	0.15	2.55	20.0	63.52
6.7538	4.0	1248	6.4189	5.75	0.46	5.55	19.95	62.83
6.1513	5.0	1560	5.8402	8.46	1.04	8.08	19.2	64.25
5.6639	6.0	1872	5.3938	8.62	1.17	8.16	19.28	64.81
5.2857	7.0	2184	5.0719	9.34	1.41	8.61	19.71	65.29
5.027	8.0	2496	4.9047	10.42	1.52	9.57	19.57	65.75
4.8747	9.0	2808	4.8032	10.79	1.71	9.91	19.42	66.2
4.7855	10.0	3120	4.7757	11.01	1.73	10.04	19.55	66.24

Framework versions

• Transformers 4.19.4
• Pytorch 1.11.0+cu113
• Datasets 2.2.2
• Tokenizers 0.12.1