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bart-cnn-samsum-peft-trained
AlfredBink/bart-cnn-samsum-peft-trained
bart-cnn-samsum-peft-trained is a machine learning model from AlfredBink. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Jan 3, 2024
Repo size
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At a glance
- License
- mit
- Access
- Public
- Created
- Jan 3, 2024
- Updated
- Jan 3, 2024
- SHA
- c0969b90
Base models
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-cnn-samsum-peft-trained
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:
- Loss: 0.0653
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.917 | 1.0 | 100 | 3.4752 |
| 2.7459 | 2.0 | 200 | 2.3807 |
| 0.6179 | 3.0 | 300 | 0.4225 |
| 0.086 | 4.0 | 400 | 0.0840 |
| 0.0725 | 5.0 | 500 | 0.0653 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- License
- mit
- Created
- Jan 3, 2024
- Updated
- Jan 3, 2024