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summary_naty_model
p1gm1/summary_naty_model
summary_naty_model is a machine learning model from p1gm1. 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
- Nov 17, 2023
- Updated
- Nov 17, 2023
- SHA
- 327c4623
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. -->
summary_naty_model
This model is a fine-tuned version of mrm8488/bart-legal-base-es on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7235
- Rouge1: 0.2139
- Rouge2: 0.1064
- Rougel: 0.1798
- Rougelsum: 0.1802
- Gen Len: 20.0
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: 20
- eval_batch_size: 14
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 11
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 26 | 3.1779 | 0.2079 | 0.0817 | 0.1695 | 0.1697 | 20.0 |
| No log | 2.0 | 52 | 3.0521 | 0.2127 | 0.0875 | 0.1722 | 0.1725 | 20.0 |
| No log | 3.0 | 78 | 2.9548 | 0.2176 | 0.094 | 0.1742 | 0.1746 | 20.0 |
| No log | 4.0 | 104 | 2.8885 | 0.2191 | 0.0987 | 0.1761 | 0.1768 | 20.0 |
| No log | 5.0 | 130 | 2.8342 | 0.2176 | 0.1021 | 0.1767 | 0.177 | 20.0 |
| No log | 6.0 | 156 | 2.8070 | 0.2175 | 0.1042 | 0.1773 | 0.1776 | 20.0 |
| No log | 7.0 | 182 | 2.7686 | 0.2157 | 0.1044 | 0.1776 | 0.1781 | 20.0 |
| No log | 8.0 | 208 | 2.7491 | 0.2154 | 0.1038 | 0.1779 | 0.178 | 20.0 |
| No log | 9.0 | 234 | 2.7387 | 0.2133 | 0.1059 | 0.1771 | 0.1778 | 20.0 |
| No log | 10.0 | 260 | 2.7247 | 0.2131 | 0.1039 | 0.1781 | 0.1783 | 20.0 |
| No log | 11.0 | 286 | 2.7235 | 0.2139 | 0.1064 | 0.1798 | 0.1802 | 20.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- bart
- Created
- Nov 17, 2023
- Updated
- Nov 17, 2023