Delete .ipynb_checkpoints

.ipynb_checkpoints/README-checkpoint.md

@@ -1,59 +0,0 @@
----
-license: other
-library_name: peft
-tags:
-- llama-factory
-- lora
-- generated_from_trainer
-base_model: Kquant03/NeuralTrix-7B-dpo-laser
-model-index:
-- name: train_2024-02-15-20-15-48
-  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. -->
-
-# train_2024-02-15-20-15-48
-
-This model is a fine-tuned version of [Kquant03/NeuralTrix-7B-dpo-laser](https://huggingface.co/Kquant03/NeuralTrix-7B-dpo-laser) on the alpaca_en 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
-- gradient_accumulation_steps: 4
-- 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
-- mixed_precision_training: Native AMP
-
-### Training results
-
-
-
-### Framework versions
-
-- PEFT 0.8.2
-- Transformers 4.37.2
-- Pytorch 2.2.0+cu121
-- Datasets 2.16.0
-- Tokenizers 0.15.2