metadata
license: apache-2.0
tags:
- summarization
- generated_from_trainer
model-index:
- name: t5-small-train
results: []
t5-small-train
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 4.1125
- eval_rouge1: 30.7616
- eval_rouge2: 12.0164
- eval_rougeL: 26.1888
- eval_rougeLsum: 27.0841
- eval_runtime: 11.6689
- eval_samples_per_second: 13.026
- eval_steps_per_second: 1.371
- step: 0
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: 5.6e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1