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README.md

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----
-library_name: transformers
-license: other
-base_model: wisenut-nlp-team/wisenut-llama-3.1-8B-0.8-Instruct
-tags:
-- llama-factory
-- full
-- generated_from_trainer
-model-index:
-- name: '0.8'
-  results: []
----
-
-<!-- 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. -->
-
-# 0.8
-
-This model is a fine-tuned version of [wisenut-nlp-team/wisenut-llama-3.1-8B-0.8-Instruct](https://huggingface.co/wisenut-nlp-team/wisenut-llama-3.1-8B-0.8-Instruct) on the data_recipe_v3 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-05
-- train_batch_size: 4
-- eval_batch_size: 8
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 8
-- gradient_accumulation_steps: 16
-- total_train_batch_size: 512
-- total_eval_batch_size: 64
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 20
-- num_epochs: 1.0
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.44.1
-- Pytorch 2.2.2
-- Datasets 2.20.0
-- Tokenizers 0.19.1