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t5small-opus_infopankki-en-zh

This model is a fine-tuned version of t5-small on the opus_infopankki dataset. It achieves the following results on the evaluation set:

  • Loss: 2.0385

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
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 25
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
3.0853 1.0 1496 2.7074
2.8378 2.0 2992 2.5717
2.7637 3.0 4488 2.4829
2.6622 4.0 5984 2.4156
2.5986 5.0 7480 2.3649
2.5488 6.0 8976 2.3184
2.486 7.0 10472 2.2808
2.4566 8.0 11968 2.2485
2.4413 9.0 13464 2.2181
2.3806 10.0 14960 2.1939
2.3741 11.0 16456 2.1711
2.3419 12.0 17952 2.1511
2.3197 13.0 19448 2.1318
2.3229 14.0 20944 2.1170
2.2885 15.0 22440 2.1032
2.2781 16.0 23936 2.0908
2.2447 17.0 25432 2.0792
2.2589 18.0 26928 2.0695
2.2274 19.0 28424 2.0611
2.2311 20.0 29920 2.0538
2.2263 21.0 31416 2.0482
2.2066 22.0 32912 2.0443
2.2042 23.0 34408 2.0413
2.211 24.0 35904 2.0390
2.1952 25.0 37400 2.0385

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.1.0
  • Tokenizers 0.12.1
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This model can be loaded on the Inference API on-demand.

Dataset used to train 0x12/t5small-opus_infopankki-en-zh

Evaluation results