drive087/wikinews_mt5-thai-sentence-sum

wikinews_model

This model is a fine-tuned version of thanathorn/mt5-cpe-kmutt-thai-sentence-sum on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 4.1099
• Rouge1: 0.3228
• Rouge2: 0.1579
• Rougel: 0.3281
• Rougelsum: 0.3263
• Gen Len: 15.0789

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.9441	35.71	500	2.3363	0.2632	0.1404	0.2632	0.2632	15.7895
0.2861	71.43	1000	3.0245	0.2632	0.1404	0.2632	0.2632	16.2105
0.0995	107.14	1500	3.5794	0.2895	0.1404	0.2895	0.2868	16.5
0.0489	142.86	2000	4.1099	0.3228	0.1579	0.3281	0.3263	15.0789

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2