|
--- |
|
tags: |
|
- generated_from_trainer |
|
model_index: |
|
- name: hybrid_hbh_bart-base_icsi_sum |
|
results: |
|
- task: |
|
name: Summarization |
|
type: summarization |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# hybrid_hbh_bart-base_icsi_sum |
|
|
|
This model is a fine-tuned version of [best-models/HBH/bart-base](https://huggingface.co./best-models/HBH/bart-base) on an unkown 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: 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: 150.0 |
|
- label_smoothing_factor: 0.1 |
|
|
|
### Framework versions |
|
|
|
- Transformers 4.8.0 |
|
- Pytorch 1.6.0 |
|
- Datasets 1.10.2 |
|
- Tokenizers 0.10.3 |
|
|
