T5_small_fine_tuned

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

• Loss: 2.6491
• Rougel Fmeasure: 0.1247
• Bertscore F1: -0.0215
• Combined Score: 0.0516

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: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rougel Fmeasure	Bertscore F1	Combined Score
1.9205	1.0	2369	2.6825	0.113	-0.0448	0.0341
1.8233	2.0	4738	2.6561	0.1227	-0.0249	0.0489
1.7693	3.0	7107	2.6505	0.1246	-0.0215	0.0515
1.7611	4.0	9476	2.6491	0.1247	-0.0215	0.0516

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3