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bbunijieun/seq2seq_huggingface_mix_results

sourceHugging Faceupdated 2y agoView on Hugging Face
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seq2seqhuggingfacemix_results

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 7.9457

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: 12
  • evalbatchsize: 12
  • seed: 42
  • gradientaccumulationsteps: 4
  • totaltrainbatch_size: 48
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 500
  • num_epochs: 1
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
10.70210.04801010.6458
10.56110.09592010.4143
10.29350.14393010.0786
9.96730.1918409.7462
9.64680.2398509.4724
9.43030.2878609.2583
9.24520.3357709.1136
9.13570.3837809.0100
9.03070.4317908.9296
8.93630.47961008.8591
8.87810.52761108.7821
8.79070.57551208.7088
8.72140.62351308.6329
8.63750.67151408.5511
8.54390.71941508.4701
8.47150.76741608.3835
8.3890.81531708.2962
8.27870.86331808.2072
8.18260.91131908.1146
8.08480.95922008.0225

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1