Downloads · 30 days
16
6% of all-time downloads
DialogLED-base-16384-QMSum-finetuned
StDestiny/DialogLED-base-16384-QMSum-finetuned
DialogLED-base-16384-QMSum-finetuned is a summarization model from StDestiny. Use it when you need a shorter version of a longer text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
288
Public
Parameters
162M
648 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors648 MB · 99%
At a glance
- Task
- Summarization
- Library
- transformers
- Model type
- led
- Access
- Public
- Created
- Apr 8, 2024
- Updated
- Apr 8, 2024
- SHA
- c0b1267a
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
DialogLED-large-5120-QMSum-finetuned
This model is a fine-tuned version of MingZhong/DialogLED-base-16384 on the QMSum dataset.
Model description
More information needed
Intended uses & limitations
Dialogue summarization
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Summarization
- Library
- transformers
- Type
- led
- Created
- Apr 8, 2024
- Updated
- Apr 8, 2024