shed-e / scipaper-summary

huggingface.co
Total runs: 6
24-hour runs: 0
7-day runs: 1
30-day runs: -1
Model's Last Updated: November 02 2022
text-generation

Introduction of scipaper-summary

Model Details of scipaper-summary

paper-summary

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

  • Loss: 2.8631
  • Rouge1: 0.3484
  • Rouge2: 0.1596
  • Rougel: 0.2971
  • Rougelsum: 0.3047
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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 8
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum
3.0545 1.0 63 2.9939 0.3387 0.1538 0.2887 0.2957
2.7871 2.0 126 2.9360 0.3448 0.1577 0.2947 0.3019
2.7188 3.0 189 2.8977 0.3477 0.1585 0.2967 0.3035
2.6493 4.0 252 2.8837 0.3488 0.1597 0.2973 0.3046
2.6207 5.0 315 2.8690 0.3472 0.1566 0.2958 0.3033
2.5893 6.0 378 2.8668 0.3493 0.1592 0.2972 0.305
2.5494 7.0 441 2.8657 0.3486 0.1595 0.2976 0.3053
2.5554 8.0 504 2.8631 0.3484 0.1596 0.2971 0.3047
Framework versions
  • Transformers 4.24.0
  • Pytorch 1.12.1+cu113
  • Datasets 2.6.1
  • Tokenizers 0.13.1

Runs of shed-e scipaper-summary on huggingface.co

6
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
-1
30-day runs

More Information About scipaper-summary huggingface.co Model

More scipaper-summary license Visit here:

https://choosealicense.com/licenses/apache-2.0

scipaper-summary huggingface.co

scipaper-summary huggingface.co is an AI model on huggingface.co that provides scipaper-summary's model effect (), which can be used instantly with this shed-e scipaper-summary model. huggingface.co supports a free trial of the scipaper-summary model, and also provides paid use of the scipaper-summary. Support call scipaper-summary model through api, including Node.js, Python, http.

scipaper-summary huggingface.co Url

https://huggingface.co/shed-e/scipaper-summary

shed-e scipaper-summary online free

scipaper-summary huggingface.co is an online trial and call api platform, which integrates scipaper-summary's modeling effects, including api services, and provides a free online trial of scipaper-summary, you can try scipaper-summary online for free by clicking the link below.

shed-e scipaper-summary online free url in huggingface.co:

https://huggingface.co/shed-e/scipaper-summary

scipaper-summary install

scipaper-summary is an open source model from GitHub that offers a free installation service, and any user can find scipaper-summary on GitHub to install. At the same time, huggingface.co provides the effect of scipaper-summary install, users can directly use scipaper-summary installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

scipaper-summary install url in huggingface.co:

https://huggingface.co/shed-e/scipaper-summary

Url of scipaper-summary

scipaper-summary huggingface.co Url

Provider of scipaper-summary huggingface.co

shed-e
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