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mrm8488/bloom-560m-finetuned-wikilingua-spanish-summarization

sourceHugging Facebigscience-bloom-rail-1.0updated 4y agoView on Hugging Face
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Model Card

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bloom-560m-finetuned-wikilingua-spanish-summarization

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: 2.1223

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

Training results

Training LossEpochStepValidation Loss
2.47680.075002.4828
2.4280.1410002.4125
2.40.215002.3927
2.36850.2720002.3506
2.32870.3425002.3340
2.31960.4130002.3284
2.28850.4835002.3005
2.26460.5540002.2944
2.26760.6850002.2575
2.22670.8260002.2281
2.19710.9570002.2018
2.0091.0980002.1925
1.99891.2390002.1765
2.01311.36100002.1666
1.97651.5110002.1514
1.94491.64120002.1404
1.93991.77130002.1297
1.9571.91140002.1223

Framework versions

  • —Transformers 4.23.0.dev0
  • —Pytorch 1.12.1+cu113
  • —Datasets 2.5.1
  • —Tokenizers 0.13.0