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BART-finetuned-on-translation-test
louistichelman/BART-finetuned-on-translation-test
BART-finetuned-on-translation-test is a machine learning model from louistichelman. 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 14, 2023
- Updated
- Dec 15, 2023
- SHA
- 85cccddc
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-on-translation-test
This model is a fine-tuned version of facebook/bart-large on the None dataset.
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 4 | 7.2281 | 1.5517 | 15.8758 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.1+cpu
- Datasets 2.15.0
- Tokenizers 0.14.1
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Dec 14, 2023
- Updated
- Dec 15, 2023