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bart-base-peft
alitolga/bart-base-peft
bart-base-peft is a machine learning model from alitolga. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Dec 17, 2023
Repo size
7.1 MB
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Repo makeup
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Dec 14, 2023
- Updated
- Dec 17, 2023
- SHA
- eb8ade1a
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-base-peft
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.7796
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.2266 | 1.0 | 389 | 5.8530 |
| 5.4129 | 2.0 | 778 | 4.9682 |
| 5.152 | 3.0 | 1167 | 4.7796 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
- License
- apache-2.0
- Created
- Dec 14, 2023
- Updated
- Dec 17, 2023