metadata
pretty_name: Evaluation run of Qwen/Qwen2.5-1.5B-Instruct
dataset_summary: >-
Dataset automatically created during the evaluation run of model
Qwen/Qwen2.5-1.5B-Instruct
The dataset is composed of 12 configuration(s), each one corresponding to one
of the evaluated task.
The dataset has been created from 130 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
2025-11-18T17-11-48.768867](https://huggingface.co/datasets/YanAdjeNole/eppc-2shot/blob/main/Qwen/Qwen2.5-1.5B-Instruct/results_2025-11-18T17-11-48.768867.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": {
"EppcExtraction": {
"alias": "EppcExtraction",
"evaluate_eppc,none": {
"code": {
"P": 0.424,
"R": 0.345,
"f1": 0.3805
},
"sub-code": {
"P": 0.1527,
"R": 0.1376,
"f1": 0.1447
},
"span": {
"P": 0.4398,
"R": 0.5821,
"f1": 0.501
}
},
"evaluate_eppc_stderr,none": "N/A"
}
},
"EppcExtraction": {
"alias": "EppcExtraction",
"evaluate_eppc,none": {
"code": {
"P": 0.424,
"R": 0.345,
"f1": 0.3805
},
"sub-code": {
"P": 0.1527,
"R": 0.1376,
"f1": 0.1447
},
"span": {
"P": 0.4398,
"R": 0.5821,
"f1": 0.501
}
},
"evaluate_eppc_stderr,none": "N/A"
}
}
```
repo_url: https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct
leaderboard_url: ''
point_of_contact: ''
configs:
- config_name: Qwen__QwQ-32B-AWQ__EppcExtraction
data_files:
- split: 2025_11_14T14_57_47.537887
path:
- '**/samples_EppcExtraction_2025-11-14T14-57-47.537887.jsonl'
- split: latest
path:
- '**/samples_EppcExtraction_2025-11-14T14-57-47.537887.jsonl'
- config_name: Qwen__Qwen2.5-1.5B-Instruct__EppcExtraction
data_files:
- split: 2025_11_18T17_11_48.768867
path:
- '**/samples_EppcExtraction_2025-11-18T17-11-48.768867.jsonl'
- split: latest
path:
- '**/samples_EppcExtraction_2025-11-18T17-11-48.768867.jsonl'
- config_name: Qwen__Qwen2.5-14B-Instruct__EppcExtraction
data_files:
- split: 2025_11_18T16_29_09.098283
path:
- '**/samples_EppcExtraction_2025-11-18T16-29-09.098283.jsonl'
- split: latest
path:
- '**/samples_EppcExtraction_2025-11-18T16-29-09.098283.jsonl'
- config_name: YanAdjeNole__sdoh-llama-3.3-70b__EppcExtraction
data_files:
- split: 2025_11_14T08_22_34.185980
path:
- '**/samples_EppcExtraction_2025-11-14T08-22-34.185980.jsonl'
- split: latest
path:
- '**/samples_EppcExtraction_2025-11-14T08-22-34.185980.jsonl'
- config_name: aaditya__Llama3-OpenBioLLM-70B__EppcExtraction
data_files:
- split: 2025_11_17T03_05_34.314886
path:
- '**/samples_EppcExtraction_2025-11-17T03-05-34.314886.jsonl'
- split: latest
path:
- '**/samples_EppcExtraction_2025-11-17T03-05-34.314886.jsonl'
- config_name: deepseek-ai__DeepSeek-R1-Distill-Llama-70B__EppcExtraction
data_files:
- split: 2025_11_15T11_02_30.853949
path:
- '**/samples_EppcExtraction_2025-11-15T11-02-30.853949.jsonl'
- split: latest
path:
- '**/samples_EppcExtraction_2025-11-15T11-02-30.853949.jsonl'
- config_name: deepseek-ai__DeepSeek-R1-Distill-Qwen-32B__EppcExtraction
data_files:
- split: 2025_11_14T18_44_02.128556
path:
- '**/samples_EppcExtraction_2025-11-14T18-44-02.128556.jsonl'
- split: latest
path:
- '**/samples_EppcExtraction_2025-11-14T18-44-02.128556.jsonl'
- config_name: google__gemma-2-27b-it__EppcExtraction
data_files:
- split: 2025_11_14T05_12_03.339860
path:
- '**/samples_EppcExtraction_2025-11-14T05-12-03.339860.jsonl'
- split: latest
path:
- '**/samples_EppcExtraction_2025-11-14T05-12-03.339860.jsonl'
- config_name: meta-llama__Llama-3.1-70B-Instruct__EppcExtraction
data_files:
- split: 2025_11_15T19_33_48.432887
path:
- '**/samples_EppcExtraction_2025-11-15T19-33-48.432887.jsonl'
- split: latest
path:
- '**/samples_EppcExtraction_2025-11-15T19-33-48.432887.jsonl'
- config_name: meta-llama__Llama-3.1-8B-Instruct__EppcExtraction
data_files:
- split: 2025_11_18T16_43_45.983527
path:
- '**/samples_EppcExtraction_2025-11-18T16-43-45.983527.jsonl'
- split: latest
path:
- '**/samples_EppcExtraction_2025-11-18T16-43-45.983527.jsonl'
- config_name: meta-llama__Llama-3.2-1B-Instruct__EppcExtraction
data_files:
- split: 2025_11_18T17_05_16.673032
path:
- '**/samples_EppcExtraction_2025-11-18T17-05-16.673032.jsonl'
- split: latest
path:
- '**/samples_EppcExtraction_2025-11-18T17-05-16.673032.jsonl'
- config_name: meta-llama__Llama-3.2-3B-Instruct__EppcExtraction
data_files:
- split: 2025_11_18T16_55_14.598270
path:
- '**/samples_EppcExtraction_2025-11-18T16-55-14.598270.jsonl'
- split: latest
path:
- '**/samples_EppcExtraction_2025-11-18T16-55-14.598270.jsonl'
- config_name: meta-llama__Llama-3.3-70B-Instruct__EppcExtraction
data_files:
- split: 2025_11_16T04_06_26.242886
path:
- '**/samples_EppcExtraction_2025-11-16T04-06-26.242886.jsonl'
- split: latest
path:
- '**/samples_EppcExtraction_2025-11-16T04-06-26.242886.jsonl'
Dataset Card for Evaluation run of Qwen/Qwen2.5-1.5B-Instruct
Dataset automatically created during the evaluation run of model Qwen/Qwen2.5-1.5B-Instruct The dataset is composed of 12 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 130 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 2025-11-18T17-11-48.768867 (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):
{
"all": {
"EppcExtraction": {
"alias": "EppcExtraction",
"evaluate_eppc,none": {
"code": {
"P": 0.424,
"R": 0.345,
"f1": 0.3805
},
"sub-code": {
"P": 0.1527,
"R": 0.1376,
"f1": 0.1447
},
"span": {
"P": 0.4398,
"R": 0.5821,
"f1": 0.501
}
},
"evaluate_eppc_stderr,none": "N/A"
}
},
"EppcExtraction": {
"alias": "EppcExtraction",
"evaluate_eppc,none": {
"code": {
"P": 0.424,
"R": 0.345,
"f1": 0.3805
},
"sub-code": {
"P": 0.1527,
"R": 0.1376,
"f1": 0.1447
},
"span": {
"P": 0.4398,
"R": 0.5821,
"f1": 0.501
}
},
"evaluate_eppc_stderr,none": "N/A"
}
}
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