|
---
|
|
license: bsd-3-clause
|
|
library_name: peft
|
|
tags:
|
|
- Summarization
|
|
- generated_from_trainer
|
|
base_model: pszemraj/pegasus-x-large-book-summary
|
|
model-index:
|
|
- name: pegasus-x-large-annual-report-QLoRA-fine-tuned-v1.1
|
|
results: []
|
|
---
|
|
|
|
<!-- 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. --> |
|
|
|
# pegasus-x-large-annual-report-QLoRA-fine-tuned-v1.1 |
|
|
|
This model is a fine-tuned version of [pszemraj/pegasus-x-large-book-summary](https://huggingface.co/pszemraj/pegasus-x-large-book-summary) 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: 0.0002 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 1 |
|
- num_epochs: 3 |
|
|
|
### Framework versions |
|
|
|
- PEFT 0.10.0 |
|
- Transformers 4.41.0.dev0 |
|
- Pytorch 2.2.1+cu118 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.19.1 |
