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summarize_by_ernie
sharmadhruv/summarize_by_ernie
summarize_by_ernie is a machine learning model from sharmadhruv. 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
- mt5
- Access
- Public
- Created
- Jul 4, 2024
- Updated
- Jul 5, 2024
- SHA
- 33968486
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. -->
summarize_by_ernie
This model is a fine-tuned version of baidu/ernie-code-560m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3186
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7349 | 1.0 | 989 | 2.3506 |
| 2.6212 | 2.0 | 1978 | 2.3263 |
| 2.6071 | 3.0 | 2967 | 2.3200 |
| 2.5826 | 4.0 | 3956 | 2.3185 |
| 2.5319 | 5.0 | 4945 | 2.3186 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- mt5
- License
- mit
- Created
- Jul 4, 2024
- Updated
- Jul 5, 2024