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test_bart_newsroom
Yahiael1/test_bart_newsroom
test_bart_newsroom is a machine learning model from Yahiael1. 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 29, 2023
- Updated
- Apr 29, 2023
- SHA
- 7e3eac1c
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. -->
test_bart_newsroom
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4137
- Rouge1: 0.1856
- Rouge2: 0.073
- Rougel: 0.1654
- Rougelsum: 0.1715
- Gen Len: 19.2987
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 250 | 2.4246 | 0.1768 | 0.0794 | 0.1635 | 0.168 | 19.3148 |
| 2.7103 | 2.0 | 500 | 2.4137 | 0.1856 | 0.073 | 0.1654 | 0.1715 | 19.2987 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Apr 29, 2023
- Updated
- Apr 29, 2023