SadNews_2_20epochs

This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.2760

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
3.3998	0.76	500	2.8591
2.8316	1.52	1000	2.5640
2.3969	2.29	1500	2.4411
1.8762	3.05	2000	2.4241
1.9914	3.81	2500	2.3928
1.8294	4.57	3000	2.4093
1.7505	5.34	3500	2.4674
1.313	6.1	4000	2.5457
1.5311	6.86	4500	2.4944
1.2645	7.62	5000	2.5876
1.0581	8.38	5500	2.6490
1.2508	9.15	6000	2.7311
1.3671	9.91	6500	2.7163
0.9799	10.67	7000	2.7751
1.03	11.43	7500	2.8911
0.8382	12.2	8000	2.9649
1.0784	12.96	8500	2.9205
0.7969	13.72	9000	3.0321
0.7965	14.48	9500	3.0564
0.7737	15.24	10000	3.1322
0.591	16.01	10500	3.1051
0.8767	16.77	11000	3.1922
0.6458	17.53	11500	3.2355
0.591	18.29	12000	3.2301
0.6428	19.05	12500	3.2603
0.7789	19.82	13000	3.2760

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2