Model save

README.md

@@ -1,6 +1,7 @@
 ---
-base_model: NousResearch/Llama-2-7b-hf
+base_model: meta-llama/Llama-2-7b-hf
 library_name: peft
+license: llama2
 tags:
 - trl
 - sft
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Cold-Data-LLama-2-7B
 
-This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the None dataset.
+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.
 
 ## Model description
 
@@ -35,20 +36,24 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 12
+- eval_batch_size: 12
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 64
+- total_train_batch_size: 48
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.03
-- num_epochs: 2
+- num_epochs: 1
+
+### Training results
+
+
 
 ### Framework versions
 
 - PEFT 0.12.0
-- Transformers 4.43.3
-- Pytorch 2.3.1+cu121
-- Datasets 2.17.0
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 2.21.0
 - Tokenizers 0.19.1