haryoaw/stif-i-f-indobart-v2

indobart-v2

This model is a fine-tuned version of indobenchmark/indobart-v2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.1169

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.41	100	1.9691
No log	0.83	200	1.4464
No log	1.24	300	1.3264
No log	1.66	400	1.2863
1.7728	2.07	500	1.2157
1.7728	2.49	600	1.2028
1.7728	2.9	700	1.1942
1.7728	3.32	800	1.1846
1.7728	3.73	900	1.1638
0.9498	4.15	1000	1.1656
0.9498	4.56	1100	1.1574
0.9498	4.98	1200	1.1434
0.9498	5.39	1300	1.1220
0.9498	5.81	1400	1.1243
0.6777	6.22	1500	1.1298
0.6777	6.64	1600	1.0963
0.6777	7.05	1700	1.1081
0.6777	7.47	1800	1.1186
0.6777	7.88	1900	1.1114
0.4961	8.3	2000	1.1168
0.4961	8.71	2100	1.1169

Framework versions

• Transformers 4.33.3
• Pytorch 2.0.1
• Datasets 2.14.5
• Tokenizers 0.13.3