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README.md

@@ -1,33 +1,6 @@
 ---
-license: apache-2.0
-base_model: TheBloke/Mistral-7B-Instruct-v0.1-GPTQ
-tags:
-- generated_from_trainer
-model-index:
-- name: mistral-finetuned-samsum_5epochs
-  results: []
 library_name: peft
 ---
-
-<!-- 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. -->
-
-# mistral-finetuned-samsum_5epochs
-
-This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GPTQ) on the None dataset.
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
 ## Training procedure
 
 
@@ -49,26 +22,7 @@ The following `bitsandbytes` quantization config was used during training:
 - pad_token_id: None
 - disable_exllama: True
 - max_input_length: None
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 0.0002
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- training_steps: 250
-- mixed_precision_training: Native AMP
-
-### Training results
-
-
-
 ### Framework versions
 
+
 - PEFT 0.5.0
-- Transformers 4.35.0.dev0
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.5
-- Tokenizers 0.14.1

adapter_model.bin

@@ -1,3 +1,3 @@
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