results

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

• Loss: 1.0138

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: 4
• eval_batch_size: 4
• 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: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.2803	0.1605	500	1.1425
1.1981	0.3210	1000	1.1046
1.1875	0.4815	1500	1.0748
1.1374	0.6421	2000	1.0605
1.1433	0.8026	2500	1.0441
1.1091	0.9631	3000	1.0329
1.0569	1.1236	3500	1.0310
1.043	1.2841	4000	1.0207
1.0287	1.4446	4500	1.0209
1.0225	1.6051	5000	1.0164
1.0446	1.7657	5500	1.0193
1.0148	1.9262	6000	1.0138

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cu121
• Datasets 3.3.1
• Tokenizers 0.21.0