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bart-finetuned-eli5_precomputed_best_slice-256
adamjweintraut/bart-finetuned-eli5_precomputed_best_slice-256
bart-finetuned-eli5_precomputed_best_slice-256 is a machine learning model from adamjweintraut. 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
- Dec 9, 2023
- Updated
- Dec 9, 2023
- SHA
- f181de97
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-finetuned-eli5_precomputed_best_slice-256
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: 1.8135
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: 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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9792 | 0.4 | 500 | 1.8632 |
| 1.9134 | 0.8 | 1000 | 1.8606 |
| 1.7819 | 1.2 | 1500 | 1.8136 |
| 1.7197 | 1.6 | 2000 | 1.8312 |
| 1.657 | 2.0 | 2500 | 1.8135 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Dec 9, 2023
- Updated
- Dec 9, 2023