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:
- eval_loss: 2.5035
- eval_rouge1: 27.8289
- eval_rouge2: 7.4394
- eval_rougeL: 21.8436
- eval_rougeLsum: 21.8522
- eval_gen_len: 18.808
- eval_runtime: 277.1343
- eval_samples_per_second: 40.89
- eval_steps_per_second: 1.281
- epoch: 1.0
- step: 6377
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: 32
- eval_batch_size: 32
- 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
Framework versions
- Transformers 4.16.2
- Pytorch 1.9.0
- Datasets 2.3.2
- Tokenizers 0.11.0