juraj-juraj/led_base_16384_docstring

<!-- 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. -->

ledlarge16384_docstring

This model is a fine-tuned version of allenai/led-base-16384 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.4572
• —Rouge2 Precision: 0.091
• —Rouge2 Recall: 0.2244
• —Rouge2 Fmeasure: 0.1219

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: 2
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 8
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 1500
• —num_epochs: 3.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.39.2
• —Pytorch 2.1.2+cu121
• —Datasets 2.14.5
• —Tokenizers 0.15.2