Downloads · 30 days
6
2% of all-time downloads
bart-large-cnn-100-lit-evalMA
cammy/bart-large-cnn-100-lit-evalMA
bart-large-cnn-100-lit-evalMA is a machine learning model from cammy. 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. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
355
Public
Repo size
4.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.6 GB · 100%
At a glance
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Mar 10, 2022
- Updated
- Mar 10, 2022
- SHA
- c2fbdf17
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. -->
bart-large-cnn-100-lit-evalMA
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.1514
- eval_rouge1: 27.8026
- eval_rouge2: 11.2998
- eval_rougeL: 21.4708
- eval_rougeLsum: 24.6333
- eval_gen_len: 62.5
- eval_runtime: 25.6587
- eval_samples_per_second: 0.39
- eval_steps_per_second: 0.39
- epoch: 2.0
- step: 200
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.2
- Datasets 1.18.3
- Tokenizers 0.11.0
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Mar 10, 2022
- Updated
- Mar 10, 2022