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my_awesome_billsum_model
ssssseeee/my_awesome_billsum_model
my_awesome_billsum_model is a machine learning model from ssssseeee. 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
- t5
- Access
- Public
- Created
- Jan 16, 2024
- Updated
- Jan 16, 2024
- SHA
- ea9e9384
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. -->
my_awesome_billsum_model
This model is a fine-tuned version of lcw99/t5-base-korean-text-summary on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1454
- Rouge1: 0.1698
- Rouge2: 0.0688
- Rougel: 0.1623
- Rougelsum: 0.1632
- Gen Len: 19.0
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: 2
- eval_batch_size: 2
- seed: 42
- 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 | 495 | 1.1729 | 0.1723 | 0.072 | 0.1654 | 0.1656 | 19.0 |
| 1.4585 | 2.0 | 990 | 1.1454 | 0.1698 | 0.0688 | 0.1623 | 0.1632 | 19.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- Created
- Jan 16, 2024
- Updated
- Jan 16, 2024