dtorber / NASca-finetuned-diego-2

huggingface.co
Total runs: 9
24-hour runs: 0
7-day runs: -1
30-day runs: 3
Model's Last Updated: February 25 2023
summarization

Introduction of NASca-finetuned-diego-2

Model Details of NASca-finetuned-diego-2

NASca-finetuned-diego-2

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

  • Loss: 1.9197
  • Rouge1: 0.2930
  • Rouge2: 0.1226
  • Rougel: 0.2327
  • Rougelsum: 0.2373
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: 1.3739167643078955e-06
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum
1.4353 0.09 15000 1.7848 0.2816 0.1157 0.2258 0.2305
1.3237 1.0 159149 1.7707 0.2831 0.1171 0.2267 0.2318
1.3836 2.0 318298 1.7924 0.2899 0.1211 0.2316 0.2361
1.274 3.0 477447 1.8809 0.2921 0.1225 0.2323 0.2368
1.2289 4.0 636596 1.9128 0.2926 0.1223 0.2322 0.2368
1.2424 5.0 795745 1.9197 0.2930 0.1226 0.2327 0.2373
Framework versions
  • Transformers 4.26.1
  • Pytorch 1.13.1+cu117
  • Datasets 2.9.0
  • Tokenizers 0.13.2

Runs of dtorber NASca-finetuned-diego-2 on huggingface.co

9
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
3
30-day runs

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NASca-finetuned-diego-2 huggingface.co

NASca-finetuned-diego-2 huggingface.co is an AI model on huggingface.co that provides NASca-finetuned-diego-2's model effect (), which can be used instantly with this dtorber NASca-finetuned-diego-2 model. huggingface.co supports a free trial of the NASca-finetuned-diego-2 model, and also provides paid use of the NASca-finetuned-diego-2. Support call NASca-finetuned-diego-2 model through api, including Node.js, Python, http.

NASca-finetuned-diego-2 huggingface.co Url

https://huggingface.co/dtorber/NASca-finetuned-diego-2

dtorber NASca-finetuned-diego-2 online free

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dtorber NASca-finetuned-diego-2 online free url in huggingface.co:

https://huggingface.co/dtorber/NASca-finetuned-diego-2

NASca-finetuned-diego-2 install

NASca-finetuned-diego-2 is an open source model from GitHub that offers a free installation service, and any user can find NASca-finetuned-diego-2 on GitHub to install. At the same time, huggingface.co provides the effect of NASca-finetuned-diego-2 install, users can directly use NASca-finetuned-diego-2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

NASca-finetuned-diego-2 install url in huggingface.co:

https://huggingface.co/dtorber/NASca-finetuned-diego-2

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Updated:May 15 2024