narwhalsilent/satire-sft-t5_training_full_vanilla

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

satire-sft-t5trainingfull_vanilla

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 2.1135
• —Rouge1: 0.4234
• —Rouge2: 0.2083
• —Rougel: 0.3836

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
• —trainbatchsize: 16
• —evalbatchsize: 64
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 2
• —totaltrainbatch_size: 32
• —totalevalbatch_size: 128
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 354
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 5.0.0
• —Pytorch 2.10.0+cu128
• —Datasets 4.8.3
• —Tokenizers 0.22.2