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bart-base-large-peft
alitolga/bart-base-large-peft
bart-base-large-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 19, 2023
Repo size
10.7 MB
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Repo makeup
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Dec 19, 2023
- Updated
- Dec 19, 2023
- SHA
- 8610016f
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-large-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: 3.6188
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: 0.005
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9432 | 1.0 | 843 | 3.7161 |
| 3.916 | 2.0 | 1686 | 3.6846 |
| 3.8955 | 3.0 | 2529 | 3.6695 |
| 3.8601 | 4.0 | 3372 | 3.6538 |
| 3.8141 | 5.0 | 4215 | 3.6188 |
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 19, 2023
- Updated
- Dec 19, 2023