trevorj/BART_reddit_gaming

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BARTredditgaming

This model is a fine-tuned version of sshleifer/distilbart-xsum-6-6 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 3.7373
• —Rouge1: 18.1202
• —Rouge2: 4.6045
• —Rougel: 15.1273
• —Rougelsum: 15.7601
• —Gen Len: 18.208

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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.20.1
• —Pytorch 1.12.0+cu113
• —Datasets 2.3.2
• —Tokenizers 0.12.1