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ffsouza/t5-tiny-random-length-96-learning_rate-0.0002-weight_decay-0.01-finetuned-en-to-ro

sourceHugging Faceupdated 5y agoView on Hugging Face
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t5-tiny-random-length-96-learningrate-0.0002-weightdecay-0.01-finetuned-en-to-ro

This model is a fine-tuned version of patrickvonplaten/t5-tiny-random on the wmt16enropreprocessed dataset. It achieves the following results on the evaluation set:

  • —Loss: 4.6426
  • —Bleu: 0.0617
  • —Gen Len: 8.9895

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: 0.0002
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 8

Training results

Training LossEpochStepValidation LossBleuGen Len
4.58281.0762905.53970.00898.981
4.1872.01525805.22410.01728.989
3.96123.02288705.00920.0348.988
3.81514.03051604.86880.03658.9865
3.71625.03814504.76560.04698.9865
3.64986.04577404.68740.05318.9885
3.61477.05340304.66120.05858.9875
3.59728.06103204.64260.06178.9895

Framework versions

  • —Transformers 4.12.5
  • —Pytorch 1.10.0+cu102
  • —Datasets 1.15.1
  • —Tokenizers 0.10.3