metadata
license: mit
tags:
- generated_from_trainer
datasets:
- mlsum
model-index:
- name: t5-mlsum_2
results: []
t5-mlsum_2
This model is a fine-tuned version of sysresearch101/t5-large-finetuned-xsum-cnn on the mlsum dataset.
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cpu
- Datasets 2.7.1
- Tokenizers 0.13.2