Delete .ipynb_checkpoints

.ipynb_checkpoints/README-checkpoint.md

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----
-base_model: /home/yuzezhu/llm/runtime/models/Meta-Llama-3.1-8B-Instruct
-library_name: peft
-license: other
-tags:
-- llama-factory
-- lora
-- generated_from_trainer
-model-index:
-- name: llama_3.1_ta
-  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. -->
-
-# llama_3.1_ta
-
-This model is a fine-tuned version of [/home/yuzezhu/llm/runtime/models/Meta-Llama-3.1-8B-Instruct](https://huggingface.co//home/yuzezhu/llm/runtime/models/Meta-Llama-3.1-8B-Instruct) on the step_by_step_undirect 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: 2
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 16
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- num_epochs: 3.0
-
-### Training results
-
-
-
-### Framework versions
-
-- PEFT 0.12.0
-- Transformers 4.43.4
-- Pytorch 2.4.0+cu121
-- Datasets 2.20.0
-- Tokenizers 0.19.1