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README.md

@@ -17,8 +17,6 @@ should probably proofread and complete it, then remove this comment. -->
 # Cold-Data-LLama-2-7B
 
 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.
-It achieves the following results on the evaluation set:
-- Loss: 0.4892
 
 ## Model description
 
@@ -37,12 +35,12 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- learning_rate: 0.01
+- train_batch_size: 24
+- eval_batch_size: 24
 - seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 64
+- gradient_accumulation_steps: 24
+- total_train_batch_size: 576
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.03
@@ -51,9 +49,6 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 0.4494        | 4.0404 | 100  | 0.4892          |
 
 
 ### Framework versions