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README.md

@@ -1,25 +1,33 @@
 ---
-pretty_name: Evaluation run of meta-llama/Meta-Llama-3-8B-Instruct
+pretty_name: Evaluation run of /weka/s223795137/Refusal_hallucination/SALORA_expirements/llama-3-8b-Instruct_summarization_1_alpha_64_r_1_hallucinated_summary_m3_5
 dataset_summary: "Dataset automatically created during the evaluation run of model\
-  \ meta-llama/Meta-Llama-3-8B-Instruct\nThe dataset is composed of 126 configuration(s),\
-  \ each one corresponding to one of the evaluated task.\n\nThe dataset has been created\
-  \ from 20 run(s). Each run can be found as a specific split in each configuration,\
-  \ the split being named using the timestamp of the run.The \"train\" split is always\
-  \ pointing to the latest results.\n\nAn additional configuration \"results\" store\
-  \ all the aggregated results of the run.\n\nTo load the details from a run, you\
-  \ can for instance do the following:\n## Latest results\n\nThese are the [latest\
-  \ results from run 2025-09-18T20-43-58.748511](https://huggingface.co/datasets/omarmohamed/xsum/blob/main/meta-llama/Meta-Llama-3-8B-Instruct/results_2025-09-18T20-43-58.748511.json)\
+  \ /weka/s223795137/Refusal_hallucination/SALORA_expirements/llama-3-8b-Instruct_summarization_1_alpha_64_r_1_hallucinated_summary_m3_5\n\
+  The dataset is composed of 127 configuration(s), each one corresponding to one of\
+  \ the evaluated task.\n\nThe dataset has been created from 22 run(s). Each run can\
+  \ be found as a specific split in each configuration, the split being named using\
+  \ the timestamp of the run.The \"train\" split is always pointing to the latest\
+  \ results.\n\nAn additional configuration \"results\" store all the aggregated results\
+  \ of the run.\n\nTo load the details from a run, you can for instance do the following:\n\
+  ## Latest results\n\nThese are the [latest results from run 2025-09-18T20-55-56.199049](https://huggingface.co/datasets/omarmohamed/xsum/blob/main/__weka__s223795137__Refusal_hallucination__SALORA_expirements__llama-3-8b-Instruct_summarization_1_alpha_64_r_1_hallucinated_summary_m3_5/results_2025-09-18T20-55-56.199049.json)\
   \ (note that there might be results for other tasks in the repos if successive evals\
   \ didn't cover the same tasks. You find each in the results and the \"latest\" split\
   \ for each eval):\n\n```python\n{\n    \"all\": {\n        \"xsum\": {\n       \
-  \     \"alias\": \"xsum\",\n            \"rouge,none\": 0.1597436923826175,\n  \
-  \          \"rouge_stderr,none\": \"N/A\"\n        }\n    },\n    \"xsum\": {\n\
-  \        \"alias\": \"xsum\",\n        \"rouge,none\": 0.1597436923826175,\n   \
-  \     \"rouge_stderr,none\": \"N/A\"\n    }\n}\n```"
-repo_url: https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
+  \     \"alias\": \"xsum\",\n            \"rouge,none\": 0.13129521097564842,\n \
+  \           \"rouge_stderr,none\": \"N/A\"\n        }\n    },\n    \"xsum\": {\n\
+  \        \"alias\": \"xsum\",\n        \"rouge,none\": 0.13129521097564842,\n  \
+  \      \"rouge_stderr,none\": \"N/A\"\n    }\n}\n```"
+repo_url: https://huggingface.co//weka/s223795137/Refusal_hallucination/SALORA_expirements/llama-3-8b-Instruct_summarization_1_alpha_64_r_1_hallucinated_summary_m3_5
 leaderboard_url: ''
 point_of_contact: ''
 configs:
+- config_name: __weka__s223795137__Refusal_hallucination__SALORA_expirements__llama-3-8b-Instruct_summarization_1_alpha_64_r_1_hallucinated_summary_m3_5__xsum
+  data_files:
+  - split: 2025_09_18T20_55_56.199049
+    path:
+    - '**/samples_xsum_2025-09-18T20-55-56.199049.jsonl'
+  - split: latest
+    path:
+    - '**/samples_xsum_2025-09-18T20-55-56.199049.jsonl'
 - config_name: meta-llama__Meta-Llama-3-8B-Instruct__arc_easy
   data_files:
   - split: 2025_09_16T18_43_54.037562
@@ -1038,34 +1046,34 @@ configs:
     - '**/samples_xsum_2025-09-18T20-43-58.748511.jsonl'
 ---
 
-# Dataset Card for Evaluation run of meta-llama/Meta-Llama-3-8B-Instruct
+# Dataset Card for Evaluation run of /weka/s223795137/Refusal_hallucination/SALORA_expirements/llama-3-8b-Instruct_summarization_1_alpha_64_r_1_hallucinated_summary_m3_5
 
 <!-- Provide a quick summary of the dataset. -->
 
-Dataset automatically created during the evaluation run of model meta-llama/Meta-Llama-3-8B-Instruct
-The dataset is composed of 126 configuration(s), each one corresponding to one of the evaluated task.
+Dataset automatically created during the evaluation run of model /weka/s223795137/Refusal_hallucination/SALORA_expirements/llama-3-8b-Instruct_summarization_1_alpha_64_r_1_hallucinated_summary_m3_5
+The dataset is composed of 127 configuration(s), each one corresponding to one of the evaluated task.
 
-The dataset has been created from 20 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
+The dataset has been created from 22 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
 
 An additional configuration "results" store all the aggregated results of the run.
 
 To load the details from a run, you can for instance do the following:
 ## Latest results
 
-These are the [latest results from run 2025-09-18T20-43-58.748511](https://huggingface.co/datasets/omarmohamed/xsum/blob/main/meta-llama/Meta-Llama-3-8B-Instruct/results_2025-09-18T20-43-58.748511.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
+These are the [latest results from run 2025-09-18T20-55-56.199049](https://huggingface.co/datasets/omarmohamed/xsum/blob/main/__weka__s223795137__Refusal_hallucination__SALORA_expirements__llama-3-8b-Instruct_summarization_1_alpha_64_r_1_hallucinated_summary_m3_5/results_2025-09-18T20-55-56.199049.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
 
 ```python
 {
     "all": {
         "xsum": {
             "alias": "xsum",
-            "rouge,none": 0.1597436923826175,
+            "rouge,none": 0.13129521097564842,
             "rouge_stderr,none": "N/A"
         }
     },
     "xsum": {
         "alias": "xsum",
-        "rouge,none": 0.1597436923826175,
+        "rouge,none": 0.13129521097564842,
         "rouge_stderr,none": "N/A"
     }
 }