metadata
tags:
- generated_from_trainer
model-index:
- name: hybrid_utt-clusterrank_bart-base_samsum_sum
results: []
hybrid_utt-clusterrank_bart-base_samsum_sum
This model is a fine-tuned version of best-models/bertDHighlighter/bart-base on an unknown 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6.0
- label_smoothing_factor: 0.1
Framework versions
- Transformers 4.17.0
- Pytorch 1.6.0
- Datasets 1.15.0
- Tokenizers 0.12.1