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sum_model_lr1e_3_20_30epoch_use2e-5from20epoch
weny22/sum_model_lr1e_3_20_30epoch_use2e-5from20epoch
sum_model_lr1e_3_20_30epoch_use2e-5from20epoch is a machine learning model from weny22. 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
- Mar 19, 2024
- Updated
- Mar 19, 2024
- SHA
- 6071747a
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. -->
sum_model_lr1e_3_20_30epoch_use2e-5from20epoch
This model is a fine-tuned version of weny22/sum_model_lr1e_3_20epoch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9485
- Rouge1: 0.219
- Rouge2: 0.0909
- Rougel: 0.1806
- Rougelsum: 0.1803
- Gen Len: 18.9827
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 335 | 1.8977 | 0.2197 | 0.0921 | 0.1821 | 0.182 | 18.9807 |
| 1.3728 | 2.0 | 670 | 1.9029 | 0.2188 | 0.091 | 0.1806 | 0.1805 | 18.9793 |
| 1.3461 | 3.0 | 1005 | 1.9100 | 0.221 | 0.0926 | 0.1827 | 0.1825 | 18.9833 |
| 1.3461 | 4.0 | 1340 | 1.9138 | 0.2197 | 0.0917 | 0.1818 | 0.1816 | 18.982 |
| 1.3229 | 5.0 | 1675 | 1.9248 | 0.2192 | 0.0908 | 0.1807 | 0.1804 | 18.9813 |
| 1.3041 | 6.0 | 2010 | 1.9285 | 0.2191 | 0.0912 | 0.1807 | 0.1805 | 18.9793 |
| 1.3041 | 7.0 | 2345 | 1.9345 | 0.2192 | 0.0914 | 0.1811 | 0.1808 | 18.982 |
| 1.2879 | 8.0 | 2680 | 1.9411 | 0.2182 | 0.0907 | 0.1803 | 0.18 | 18.982 |
| 1.2748 | 9.0 | 3015 | 1.9458 | 0.2193 | 0.0913 | 0.1809 | 0.1805 | 18.982 |
| 1.2748 | 10.0 | 3350 | 1.9485 | 0.219 | 0.0909 | 0.1806 | 0.1803 | 18.9827 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- Created
- Mar 19, 2024
- Updated
- Mar 19, 2024