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rut5_base_sum_gazeta-finetuned-mlsum
Ravencer/rut5_base_sum_gazeta-finetuned-mlsum
rut5_base_sum_gazeta-finetuned-mlsum is a machine learning model from Ravencer. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- May 21, 2023
- Updated
- Jun 26, 2023
- SHA
- 1f11995d
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. -->
rut5_base_sum_gazeta-finetuned-mlsum
This model is a fine-tuned version of IlyaGusev/rut5_base_sum_gazeta on the mlsum dataset.
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 13 | 3.4842 | 10.3333 | 0.0 | 10.3333 | 10.3333 | 78.7 |
Framework versions
- Transformers 4.29.1
- Pytorch 2.0.1+cpu
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- May 21, 2023
- Updated
- Jun 26, 2023