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finetuned-Zapher
sriramahesh2000/finetuned-Zapher
finetuned-Zapher is a summarization model from sriramahesh2000. Use it when you need a shorter version of a longer text. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Dec 3, 2023
Repo size
252 MB
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Repo makeup
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.safetensors83.9 MB · 100%
At a glance
- Task
- Summarization
- License
- mit
- Access
- Public
- Created
- Dec 2, 2023
- Updated
- Dec 3, 2023
- SHA
- da5b70d3
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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. -->
finetuned-Zapher
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the None 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 40
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Summarization
- License
- mit
- Created
- Dec 2, 2023
- Updated
- Dec 3, 2023