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fakeqlort5

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metadata
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
metrics:
  - rouge
base_model: google-t5/t5-base
model-index:
  - name: fakeqlort5
    results: []

fakeqlort5

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

  • Loss: 2.3242
  • Rouge1: 43.7262
  • Rouge2: 20.7658
  • Rougel: 26.8096
  • Rougelsum: 39.9061
  • Gen Len: 292.984

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: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.6036 1.0 1000 2.3242 43.7262 20.7658 26.8096 39.9061 292.984

Framework versions

  • PEFT 0.10.1.dev0
  • Transformers 4.40.0.dev0
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2