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bart_baseline_peft
jordanfan/bart_baseline_peft
bart_baseline_peft is a machine learning model from jordanfan. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Apr 1, 2024
- Updated
- Apr 2, 2024
- SHA
- 5396c928
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_baseline_peft
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0163
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: 0.0002
- 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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.18 | 250 | 1.4711 |
| 1.8588 | 0.35 | 500 | 1.4005 |
| 1.8588 | 0.53 | 750 | 1.3036 |
| 1.4092 | 0.71 | 1000 | 1.2629 |
| 1.4092 | 0.89 | 1250 | 1.2011 |
| 1.2502 | 1.06 | 1500 | 1.1580 |
| 1.2502 | 1.24 | 1750 | 1.1387 |
| 0.9815 | 1.42 | 2000 | 1.1045 |
| 0.9815 | 1.6 | 2250 | 1.0710 |
| 0.9213 | 1.77 | 2500 | 1.0347 |
| 0.9213 | 1.95 | 2750 | 1.0163 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Apr 1, 2024
- Updated
- Apr 2, 2024