Update README.md

README.md

@@ -5,6 +5,13 @@ tags:
 model-index:
 - name: llama-2-7b-hf-zero-shot-prompt
   results: []
+license: mit
+datasets:
+- niting3c/Malicious_packets_subset
+- niting3c/Malicious_packets
+metrics:
+- accuracy
+pipeline_tag: text-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +22,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.3135
+- `{'accuracy': 0.546, 'recall': 0.098, 'precision': 0.9423076923076923, 'f1': 0.17753623188405795, 'total_time_in_seconds': 2308.70937472, 'samples_per_second': 0.4331424348815146, 'latency_in_seconds': 2.3087093747200003}`
 
 ## Model description
 
@@ -59,4 +67,4 @@ The following hyperparameters were used during training:
 - Transformers 4.32.1
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.4
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3