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README.md
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---
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library_name: transformers
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base_model:
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tags:
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- llama-factory
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- full
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model-index:
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- name: diffullama
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# diffullama
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This model is a fine-tuned version of [
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## Model description
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.1.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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---
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library_name: transformers
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base_model:
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- meta-llama/Llama-2-7b-hf
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tags:
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- llama-factory
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- full
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- diffusion
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model-index:
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- name: diffullama
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results: []
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license: mit
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datasets:
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- bigcode/starcoderdata
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- cerebras/SlimPajama-627B
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# diffullama
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This model is a fine-tuned version of [llama2].
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## Model description
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Details and model loading can be seen [https://github.com/HKUNLP/DiffuLLaMA](https://github.com/HKUNLP/DiffuLLaMA).
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.1.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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