Edit model card

summary1

This model is a fine-tuned version of d0rj/rut5-base-summ on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.4999
  • Rouge1: 0.1582
  • Rouge2: 0.0671
  • Rougel: 0.1582
  • Rougelsum: 0.156
  • Gen Len: 46.7

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: 1
  • eval_batch_size: 1
  • 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 Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 90 2.4990 0.0834 0.0133 0.0858 0.0847 37.0
No log 2.0 180 2.4853 0.1484 0.0411 0.1431 0.1405 46.7
No log 3.0 270 2.4740 0.0753 0.0133 0.074 0.074 50.2
No log 4.0 360 2.4672 0.1468 0.0575 0.1472 0.14 53.9
No log 5.0 450 2.4647 0.1743 0.0824 0.1741 0.1694 46.1
1.6637 6.0 540 2.4651 0.1702 0.0436 0.1702 0.1658 48.3
1.6637 7.0 630 2.4683 0.1658 0.0545 0.1658 0.1606 48.7
1.6637 8.0 720 2.4716 0.1743 0.0545 0.1741 0.1694 46.2
1.6637 9.0 810 2.4758 0.1743 0.0545 0.1741 0.1694 48.2
1.6637 10.0 900 2.4780 0.1641 0.0678 0.1643 0.1593 50.0
1.6637 11.0 990 2.4819 0.1582 0.0671 0.1582 0.156 47.4
1.3794 12.0 1080 2.4854 0.1621 0.0708 0.1621 0.1599 47.3
1.3794 13.0 1170 2.4875 0.1562 0.065 0.1576 0.1521 48.4
1.3794 14.0 1260 2.4886 0.1562 0.065 0.1576 0.1521 48.5
1.3794 15.0 1350 2.4908 0.1582 0.0671 0.1582 0.156 47.3
1.3794 16.0 1440 2.4925 0.1582 0.0671 0.1582 0.156 48.7
1.2935 17.0 1530 2.4942 0.1582 0.0671 0.1582 0.156 47.3
1.2935 18.0 1620 2.4954 0.1582 0.0671 0.1582 0.156 47.3
1.2935 19.0 1710 2.4971 0.1582 0.0671 0.1582 0.156 47.5
1.2935 20.0 1800 2.4976 0.1582 0.0671 0.1582 0.156 47.3
1.2935 21.0 1890 2.4981 0.1582 0.0671 0.1582 0.156 46.9
1.2935 22.0 1980 2.4990 0.1582 0.0671 0.1582 0.156 46.9
1.236 23.0 2070 2.4996 0.1582 0.0671 0.1582 0.156 46.7
1.236 24.0 2160 2.4997 0.1582 0.0671 0.1582 0.156 46.7
1.236 25.0 2250 2.4999 0.1582 0.0671 0.1582 0.156 46.7

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference API
Unable to determine this model's library. Check the docs .

Model tree for davidataka/summary1

Finetuned
(7)
this model