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t5-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: 2.3548

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: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
3.065 1.0 1496 2.7383
2.8459 2.0 2992 2.6077
2.7296 3.0 4488 2.5336
2.6639 4.0 5984 2.4761
2.6234 5.0 7480 2.4342
2.5847 6.0 8976 2.4038
2.5536 7.0 10472 2.3808
2.5213 8.0 11968 2.3663
2.5275 9.0 13464 2.3574
2.5215 10.0 14960 2.3548

Framework versions

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

Dataset used to train 0x12/t5-opus_infopankki-en-zh

Evaluation results