Downloads · 30 days
32
3% of all-time downloads
distilbert_gpt2_summarization_xsum
Ayham/distilbert_gpt2_summarization_xsum
distilbert_gpt2_summarization_xsum is a machine learning model from Ayham. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
931
Public
Repo size
2.7 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin897 MB · 100%
At a glance
- Library
- transformers
- Model type
- encoder-decoder
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 20, 2021
- SHA
- 445eb1a2
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. -->
distilbert_gpt2_summarization_xsum
This model is a fine-tuned version of on the xsum 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.12.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
- Library
- transformers
- Type
- encoder-decoder
- Created
- Mar 2, 2022
- Updated
- Dec 20, 2021