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VirgiF/continue_pretrain_t5_base_10tokens

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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continuepretraint5base10tokens

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

  • —Loss: 5.0015
  • —Rouge: {'rouge1': 0.15180664921665177, 'rouge2': 0.14241763000023774, 'rougeL': 0.1513952140128575, 'rougeLsum': 0.1517189553463021}
  • —Exact Match: {'exact_match': 0.0}

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: 14
  • —evalbatchsize: 14
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 28
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 3

Training results

Training LossEpochStepValidation LossRougeExact Match
0.10391.017864.8370{'rouge1': 0.08468086761955296, 'rouge2': 0.07928600729695852, 'rougeL': 0.08453698334268148, 'rougeLsum': 0.08473098923719942}{'exact_match': 0.0}
0.05032.035724.9960{'rouge1': 0.15080775818986453, 'rouge2': 0.1414201900527639, 'rougeL': 0.15034957154685738, 'rougeLsum': 0.1506605398259596}{'exact_match': 0.0}
0.05213.053585.0015{'rouge1': 0.15180664921665177, 'rouge2': 0.14241763000023774, 'rougeL': 0.1513952140128575, 'rougeLsum': 0.1517189553463021}{'exact_match': 0.0}

Framework versions

  • —Transformers 4.44.2
  • —Pytorch 2.1.2+cu121
  • —Datasets 2.19.1
  • —Tokenizers 0.19.1