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sft-sum-chosen-10lp-shuff-full-gemma-it
martimfasantos/sft-sum-chosen-10lp-shuff-full-gemma-it
sft-sum-chosen-10lp-shuff-full-gemma-it is a summarization model from martimfasantos. Use it when you need a shorter version of a longer text. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Summarization
- License
- gemma
- Model type
- gemma2
- Access
- Public
- Created
- Aug 25, 2024
- Updated
- Aug 25, 2024
- SHA
- 7c401f9f
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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. -->
sft-sum-chosen-10lp-shuff-full-gemma
This model is a fine-tuned version of google/gemma-2-2b-it on the martimfasantos/openai-summarize-tldr 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Summarization
- Type
- gemma2
- License
- gemma
- Created
- Aug 25, 2024
- Updated
- Aug 25, 2024