Summary / README.md
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End of training
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metadata
license: apache-2.0
base_model: t5-small
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: Summary
    results: []

Summary

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

  • Loss: 1.7430
  • Rouge1: 0.2448
  • Rouge2: 0.1173
  • Rougel: 0.2028
  • Rougelsum: 0.2029
  • Gen Len: 19.0

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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • 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 Gen Len
No log 1.0 282 1.7743 0.2429 0.1151 0.2007 0.2008 18.9976
2.0101 2.0 564 1.7550 0.2448 0.1169 0.203 0.2032 18.9976
2.0101 3.0 846 1.7477 0.2451 0.1178 0.2034 0.2036 18.9976
1.9145 4.0 1128 1.7441 0.2449 0.1173 0.2028 0.203 18.9976
1.9145 5.0 1410 1.7430 0.2448 0.1173 0.2028 0.2029 19.0

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0