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metadata
license: apache-2.0
base_model: google/long-t5-local-base
tags:
  - generated_from_trainer
model-index:
  - name: long-t5-local-base-ARv1
    results: []

long-t5-local-base-ARv1

This model is a fine-tuned version of google/long-t5-local-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.3963
  • Exact Match: 10.0
  • Gen Len: 3.9

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss Exact Match Gen Len
No log 1.0 7 19.4103 0.0 19.0
24.1098 2.0 14 16.1054 0.0 19.0
18.4141 3.0 21 13.2155 0.0 19.0
18.4141 4.0 28 10.5562 0.0 19.0
14.3671 5.0 35 7.3648 0.0 18.68
10.2783 6.0 42 5.4277 4.0 16.44
10.2783 7.0 49 4.8687 18.0 7.88
7.6519 8.0 56 4.4226 26.0 3.06
5.7049 9.0 63 4.1797 28.0 3.06
5.0241 10.0 70 4.0197 24.0 4.74
5.0241 11.0 77 3.8360 8.0 7.58
4.1884 12.0 84 3.7251 6.0 8.74
3.3779 13.0 91 3.6448 6.0 6.94
3.3779 14.0 98 3.5611 10.0 4.66
3.149 15.0 105 3.4972 6.0 4.54
3.1238 16.0 112 3.4741 8.0 3.8
3.1238 17.0 119 3.4431 8.0 3.86
3.2917 18.0 126 3.4290 10.0 3.88
3.001 19.0 133 3.4080 10.0 3.9
3.8795 20.0 140 3.3963 10.0 3.9

Framework versions

  • Transformers 4.41.0
  • Pytorch 2.2.1
  • Datasets 2.19.1
  • Tokenizers 0.19.1