Edit model card

t5-small-finetuned-en-to-ro-lr_2e-3-fp_false

This model is a fine-tuned version of t5-small on the wmt16 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4239
  • Bleu: 7.1921
  • Gen Len: 18.2611

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: 0.002
  • 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: 1

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.8922 0.05 2000 1.7000 6.5274 18.2656
0.8621 0.1 4000 1.6409 6.6411 18.2311
0.8433 0.16 6000 1.6396 6.6601 18.2596
0.8297 0.21 8000 1.6304 6.7129 18.2581
0.8006 0.26 10000 1.6022 6.6067 18.2816
0.793 0.31 12000 1.5999 6.551 18.2631
0.774 0.37 14000 1.5586 6.7105 18.2661
0.7618 0.42 16000 1.5769 6.7278 18.2526
0.7463 0.47 18000 1.5625 6.6972 18.2201
0.7394 0.52 20000 1.5377 6.936 18.2491
0.7203 0.58 22000 1.5191 7.0205 18.2731
0.7158 0.63 24000 1.5055 6.835 18.2506
0.688 0.68 26000 1.4779 7.0534 18.2716
0.678 0.73 28000 1.4691 6.9735 18.2616
0.6677 0.79 30000 1.4702 7.0359 18.2496
0.6568 0.84 32000 1.4534 6.9982 18.2556
0.6475 0.89 34000 1.4427 7.0443 18.2466
0.6395 0.94 36000 1.4265 7.1205 18.2721
0.6319 1.0 38000 1.4239 7.1921 18.2611

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.10.0+cu111
  • Datasets 1.16.1
  • Tokenizers 0.10.3
Downloads last month
9

Dataset used to train danhsf/t5-small-finetuned-en-to-ro-lr_2e-3-fp_false

Evaluation results