Downloads · 30 days
7
5% of all-time downloads
bart-convo-summarizer-peft
Advaith1612/bart-convo-summarizer-peft
bart-convo-summarizer-peft is a machine learning model from Advaith1612. 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 peft. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
152
Public
Repo size
18.9 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors18.9 MB · 100%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Jun 24, 2024
- Updated
- Jun 24, 2024
- SHA
- e2aed1c9
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. -->
bart-convo-summarizer-peft
This model is a fine-tuned version of Advaith1612/bart_convo-summarizer on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 0.1007
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: 1e-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
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2141 | 1.0 | 37 | 1.5593 |
| 1.0508 | 2.0 | 74 | 0.5395 |
| 0.3323 | 3.0 | 111 | 0.1873 |
| 0.1741 | 4.0 | 148 | 0.1134 |
| 0.1335 | 5.0 | 185 | 0.1007 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- Jun 24, 2024
- Updated
- Jun 24, 2024