Downloads · 30 days
9
3% of all-time downloads
bart-conv-samsum-5
Rummaan/bart-conv-samsum-5
bart-conv-samsum-5 is a machine learning model from Rummaan. 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
287
Public
Repo size
3.3 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
- Apr 7, 2023
- Updated
- Apr 7, 2023
- SHA
- c618fcb8
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. -->
test-dialogue-summarization
This model is a fine-tuned version of facebook/bart-large-xsum on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.7499
- Rouge1: 53.8085
- Rouge2: 28.9627
- Rougel: 44.3913
- Rougelsum: 49.5056
- Gen Len: 30.2237
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.3909 | 1.0 | 1841 | 1.5591 | 52.8029 | 28.5133 | 43.7896 | 48.3986 | 25.8386 |
| 1.0938 | 2.0 | 3683 | 1.4337 | 54.5987 | 29.195 | 44.2764 | 49.9201 | 31.9071 |
| 0.856 | 3.0 | 5524 | 1.5402 | 54.2077 | 29.0463 | 44.3965 | 49.6877 | 29.4597 |
| 0.6704 | 4.0 | 7366 | 1.6280 | 54.2616 | 29.5501 | 44.5626 | 49.7599 | 29.967 |
| 0.548 | 5.0 | 9205 | 1.7499 | 53.8085 | 28.9627 | 44.3913 | 49.5056 | 30.2237 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Apr 7, 2023
- Updated
- Apr 7, 2023