baek26 / all_8657_bart-base

huggingface.co
Total runs: 7
24-hour runs: 1
7-day runs: 0
30-day runs: 2
Model's Last Updated: April 21 2024
text-generation

Introduction of all_8657_bart-base

Model Details of all_8657_bart-base

all_8657_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: 1.2356
  • Rouge1: 0.2722
  • Rouge2: 0.1239
  • Rougel: 0.2315
  • Rougelsum: 0.2424
  • Gen Len: 19.9567
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: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 64
  • 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
2.759 0.89 500 1.2348 0.2615 0.1071 0.2187 0.2283 19.956
1.0891 1.78 1000 1.2122 0.2667 0.1145 0.224 0.2351 19.9713
0.9877 2.67 1500 1.2076 0.2701 0.118 0.2271 0.238 19.9413
0.9299 3.56 2000 1.2072 0.2682 0.1205 0.2267 0.2385 19.9667
0.8841 4.44 2500 1.2088 0.2711 0.1213 0.2294 0.2406 19.956
0.8425 5.33 3000 1.2154 0.2718 0.1245 0.2317 0.2426 19.9673
0.8123 6.22 3500 1.2276 0.2719 0.1242 0.2315 0.2422 19.958
0.7876 7.11 4000 1.2259 0.2726 0.1228 0.2311 0.242 19.9647
0.769 8.0 4500 1.2244 0.2733 0.126 0.2324 0.2436 19.9667
0.75 8.89 5000 1.2313 0.2723 0.1236 0.231 0.2422 19.964
0.7369 9.78 5500 1.2356 0.2722 0.1239 0.2315 0.2424 19.9567
Framework versions
  • Transformers 4.38.2
  • Pytorch 2.0.0+cu117
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of baek26 all_8657_bart-base on huggingface.co

7
Total runs
1
24-hour runs
1
3-day runs
0
7-day runs
2
30-day runs

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