mrm8488/bloom-560m-finetuned-samsum

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bloom-560m-finetuned-samsum

This model is a fine-tuned version of bigscience/bloom-560m on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 2.9178

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: 1
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 4
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 6
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.22.2
• —Pytorch 1.12.1+cu113
• —Datasets 2.5.1
• —Tokenizers 0.12.1