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bart-large-cnn-small-xsum-3epochs
bheshaj/bart-large-cnn-small-xsum-3epochs
bart-large-cnn-small-xsum-3epochs is a machine learning model from bheshaj. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Dec 18, 2022
- Updated
- Dec 18, 2022
- SHA
- a5d621af
Datasets
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-large-cnn-small-xsum-3epochs
This model is a fine-tuned version of facebook/bart-large-cnn on the xsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.9215
- Rouge1: 0.2948
- Rouge2: 0.102
- Rougel: 0.2136
- Rougelsum: 0.2237
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: 1.4899457508828423e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 16
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.6493 | 0.64 | 8 | 2.3018 | 0.2072 | 0.038 | 0.1369 | 0.1665 |
| 2.1539 | 1.32 | 16 | 2.0677 | 0.2403 | 0.0689 | 0.165 | 0.1833 |
| 1.9295 | 1.96 | 24 | 1.9494 | 0.2779 | 0.0907 | 0.1998 | 0.209 |
| 1.7358 | 2.64 | 32 | 1.9215 | 0.2948 | 0.102 | 0.2136 | 0.2237 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Dec 18, 2022
- Updated
- Dec 18, 2022