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t5-small-text-simplification_1e4_adafactor

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

  • Loss: 0.4541

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: 0.0001
  • train_batch_size: 256
  • eval_batch_size: 256
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
0.8842 1.0 582 0.4651
0.5737 2.0 1164 0.4611
0.5559 3.0 1746 0.4585
0.548 4.0 2328 0.4573
0.541 5.0 2910 0.4565
0.5349 6.0 3492 0.4564
0.5257 7.0 4074 0.4552
0.5223 8.0 4656 0.4558
0.5185 9.0 5238 0.4550
0.5145 10.0 5820 0.4544
0.5166 11.0 6402 0.4551
0.5104 12.0 6984 0.4546
0.5089 13.0 7566 0.4547
0.5054 14.0 8148 0.4544
0.5047 15.0 8730 0.4544
0.5043 16.0 9312 0.4537
0.5021 17.0 9894 0.4539
0.5034 18.0 10476 0.4539
0.5008 19.0 11058 0.4541
0.5003 20.0 11640 0.4541

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3
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