baek26 / all_2490_bart-base

huggingface.co
Total runs: 10
24-hour runs: 0
7-day runs: 2
30-day runs: 3
Model's Last Updated: April 24 2024
text-generation

Introduction of all_2490_bart-base

Model Details of all_2490_bart-base

all_2490_bart-base

This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0206
  • Rouge1: 0.2426
  • Rouge2: 0.1208
  • Rougel: 0.2025
  • Rougelsum: 0.2266
  • Gen Len: 19.9945
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: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 20
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 512
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.7151 0.8 500 1.1257 0.2361 0.1122 0.1955 0.2196 19.9978
1.0837 1.61 1000 1.0810 0.2401 0.1176 0.1997 0.2237 19.9953
1.0348 2.41 1500 1.0651 0.2401 0.1179 0.1999 0.2239 19.9957
1.0059 3.21 2000 1.0522 0.2402 0.1183 0.2001 0.2242 19.996
0.9855 4.02 2500 1.0439 0.2416 0.1197 0.2014 0.2257 19.9948
0.9642 4.82 3000 1.0361 0.2421 0.12 0.2019 0.2263 19.9936
0.9519 5.63 3500 1.0329 0.2415 0.1199 0.2016 0.2258 19.9948
0.9389 6.43 4000 1.0278 0.2424 0.1204 0.2022 0.2265 19.9942
0.9302 7.23 4500 1.0273 0.2422 0.1204 0.2022 0.2264 19.9943
0.9225 8.04 5000 1.0219 0.2421 0.1208 0.2023 0.2263 19.9946
0.9152 8.84 5500 1.0219 0.2429 0.1208 0.2027 0.227 19.9948
0.911 9.64 6000 1.0206 0.2426 0.1208 0.2025 0.2266 19.9945
Framework versions
  • Transformers 4.38.2
  • Pytorch 2.0.0+cu117
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of baek26 all_2490_bart-base on huggingface.co

10
Total runs
0
24-hour runs
3
3-day runs
2
7-day runs
3
30-day runs

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