metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- pszemraj/jflAUG-v5
model-index:
- name: bart-base-jflAUG-v5-r1
results: []
bart-base-jflAUG-v5-r1
This model is a fine-tuned version of facebook/bart-base on the pszemraj/jflAUG-v5 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3