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zephyr-7b-gemma-combined_exp_logistic_loss
chrlu/zephyr-7b-gemma-combined_exp_logistic_loss
zephyr-7b-gemma-combined_exp_logistic_loss is a text generation model from chrlu. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- gemma
- Access
- Public
- Created
- May 12, 2024
- Updated
- May 12, 2024
- SHA
- 0b5914cf
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Base models
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. -->
zephyr-7b-gemma-combined_exp_logistic_loss
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-gemma-sft-v0.1 on the argilla/dpo-mix-7k 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: 5e-07
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
Framework versions
- Transformers 4.40.1
- Pytorch 2.1.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- gemma
- License
- other
- Created
- May 12, 2024
- Updated
- May 12, 2024