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rut5_base_sum_gazeta-finetuned_week_gpt
Natet/rut5_base_sum_gazeta-finetuned_week_gpt
rut5_base_sum_gazeta-finetuned_week_gpt is a summarization model from Natet. Use it when you need a shorter version of a longer text. 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
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Dec 11, 2023
- Updated
- Jan 23, 2024
- SHA
- e8715197
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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. -->
rut5_base_sum_gazeta-finetuned_week_gpt
This model is a fine-tuned version of IlyaGusev/rut5_base_sum_gazeta on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.3331
- eval_rouge1: 0.0
- eval_rouge2: 0.0
- eval_rougeL: 0.0
- eval_rougeLsum: 0.0
- eval_runtime: 7.8395
- eval_samples_per_second: 0.383
- eval_steps_per_second: 0.128
- step: 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: 5.6e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
- Task
- Summarization
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 11, 2023
- Updated
- Jan 23, 2024