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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - xsum
model-index:
  - name: t5-small-finetuned-xsum
    results: []

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: 2.4688

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: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: IPU
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 16
  • total_eval_batch_size: 5
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • training precision: Mixed Precision

Training results

Training Loss Epoch Step Validation Loss
2.7197 1.0 12752 2.4688

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.10.0+cpu
  • Datasets 2.7.1
  • Tokenizers 0.12.1