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bart-highlr
joel4899/bart-highlr
bart-highlr is a machine learning model from joel4899. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- bart
- Access
- Public
- Created
- May 8, 2025
- Updated
- May 10, 2025
- SHA
- a7b7149d
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-answer-generation-high-args
This model is a fine-tuned version of joel4899/bart-answer-generation-high-args on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0137
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: 3e-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: 500
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0156 | 1.0 | 299 | 0.0145 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0+cpu
- Datasets 3.0.1
- Tokenizers 0.20.0
- Library
- transformers
- Type
- bart
- Created
- May 8, 2025
- Updated
- May 10, 2025