Edit model card

t5-small-finetuned-xsum

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

  • Loss: 2.4785
  • Rouge1: 28.2895
  • Rouge2: 7.7184
  • Rougel: 22.2358
  • Rougelsum: 22.2305
  • Gen Len: 18.8296

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: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.7078 1.0 12753 2.4785 28.2895 7.7184 22.2358 22.2305 18.8296

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
Downloads last month
3
Safetensors
Model size
60.5M params
Tensor type
F32
·
Inference API
Unable to determine this model's library. Check the docs .

Model tree for andmev/t5-small-finetuned-xsum

Base model

google-t5/t5-small
Finetuned
(1524)
this model

Dataset used to train andmev/t5-small-finetuned-xsum

Evaluation results