qqrownt5

This model is a fine-tuned version of Turkish-NLP/t5-efficient-small-MLSUM-TR-fine-tuned on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1853

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

Training results

Training Loss	Epoch	Step	Validation Loss
0.228	1.0	9500	0.1971
0.2179	2.0	19000	0.1894
0.2125	3.0	28500	0.1861
0.2134	4.0	38000	0.1853

Framework versions

• Transformers 4.42.0.dev0
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1