metadata
tags:
- generated_from_trainer
model_index:
- name: hybrid_hbh_bart-base_icsi_sum
results:
- task:
name: Summarization
type: summarization
hybrid_hbh_bart-base_icsi_sum
This model is a fine-tuned version of facebook/bart-base on ICSI dataset for dialogue summarization task.
Model description
More information needed
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 2
- eval_batch_size: 2
- 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: 100.0
- label_smoothing_factor: 0.1
Results
predict_gen_len = 480.0 predict_rouge1 = 46.8707 predict_rouge2 = 10.1337 predict_rougeL = 19.3386 predict_rougeLsum = 43.6989 predict_samples = 6 predict_samples_per_second = 0.54 predict_steps_per_second = 0.27
Framework versions
- Transformers 4.8.0
- Pytorch 1.6.0
- Datasets 1.10.2
- Tokenizers 0.10.3