update model card README.md

README.md

@@ -4,7 +4,6 @@ tags:
 model-index:
 - name: llama2_finetuned_chatbot
   results: []
-library_name: peft
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -12,7 +11,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # llama2_finetuned_chatbot
 
-This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
+This model is a fine-tuned version of [NousResearch/llama-2-7b-chat-hf](https://huggingface.co/NousResearch/llama-2-7b-chat-hf) on the None dataset.
 
 ## Model description
 
@@ -28,17 +27,6 @@ More information needed
 
 ## Training procedure
 
-
-The following `bitsandbytes` quantization config was used during training:
-- load_in_8bit: False
-- load_in_4bit: True
-- llm_int8_threshold: 6.0
-- llm_int8_skip_modules: None
-- llm_int8_enable_fp32_cpu_offload: False
-- llm_int8_has_fp16_weight: False
-- bnb_4bit_quant_type: nf4
-- bnb_4bit_use_double_quant: True
-- bnb_4bit_compute_dtype: float16
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
@@ -50,7 +38,7 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- training_steps: 100
+- training_steps: 10
 
 ### Training results
 
@@ -58,7 +46,6 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- PEFT 0.4.0
 - Transformers 4.30.2
 - Pytorch 2.1.0+cu121
 - Datasets 2.16.1