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liamvbetts/t5-small-finetuned-2024-03-22
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metadata
base_model: liamvbetts/t5-small-finetuned-2024-03-21
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: t5-small-finetuned-2024-03-22
    results: []

t5-small-finetuned-2024-03-22

This model is a fine-tuned version of liamvbetts/t5-small-finetuned-2024-03-21 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6982
  • Rouge1: 30.9866
  • Rouge2: 16.6554
  • Rougel: 27.0934
  • Rougelsum: 27.6717
  • Gen Len: 18.6056

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: 4e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
1.9185 1.0 284 1.6982 30.9866 16.6554 27.0934 27.6717 18.6056

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2