t5-small-finetuned-xsum-apollo_adamw

This model is a fine-tuned version of guo1006/t5-small-finetuned-xsum on the xsum dataset. It achieves the following results on the evaluation set:

• Loss: 2.5163

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Use OptimizerNames.APOLLO_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=proj=random,rank=1,scale=128.0,scale_type=tensor,update_proj_gap=300
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.8118	1.0	1500	2.5614
2.7674	2.0	3000	2.5336
2.753	3.0	4500	2.5197
2.7499	4.0	6000	2.5163

Framework versions

• Transformers 4.52.4
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.2