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bart-noised-with-all-dist-2
gayanin/bart-noised-with-all-dist-2
bart-noised-with-all-dist-2 is a machine learning model from gayanin. 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
- Feb 6, 2024
- Updated
- Feb 6, 2024
- SHA
- 8c7385fb
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-noised-with-all-dist-2
This model is a fine-tuned version of gayanin/bart-noised-with-all-dist on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3468
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5985 | 0.74 | 500 | 0.3934 |
| 0.3331 | 1.48 | 1000 | 0.3609 |
| 0.2625 | 2.22 | 1500 | 0.3582 |
| 0.1968 | 2.96 | 2000 | 0.3468 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Feb 6, 2024
- Updated
- Feb 6, 2024