Random submission
Created at 09.01.2024 08:34General assessment: 0.205
The table will scroll to the left
| Task name | Result | Metric |
|---|---|---|
| BPS | 0.5 | Accuracy |
| LCS | 0.096 | Accuracy |
| RCB | 0.361 / 0.36 | Avg. F1 / Accuracy |
| USE | 0.064 | Grade Norm |
| RWSD | 0.519 | Accuracy |
| PARus | 0.482 | Accuracy |
| ruTiE | 0.472 | Accuracy |
| MultiQ | 0.014 / 0.001 | F1-score/EM |
| ruMMLU | 0.258 | Accuracy |
| CheGeKa | 0.002 / 0 | F1 / EM |
| ruModAr | 0.0 | Accuracy |
| SimpleAr | 0.0 | Accuracy |
| ruMultiAr | 0.0 | Accuracy |
| MathLogicQA | 0.244 | Accuracy |
| ruHumanEval | 0 / 0 / 0 | pass@k |
| ruWorldTree | 0.23 / 0.229 | Avg. F1 / Accuracy |
| ruOpenBookQA | 0.245 / 0.245 | Avg. F1 / Accuracy |
Evaluation on diagnostic datasets:
It is not taken into account in the overall ratingThe table will scroll to the left
| Task name | Result | Metric | ||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ruHHH |
0.522
|
Accuracy | ||||||||||||||||||||||||
| ruHateSpeech |
0.468
|
Accuracy | ||||||||||||||||||||||||
| ruDetox |
|
Overall average score (J) Assessment of the preservation of meaning (SIM) Assessment of naturalness (FL) Style Transfer Accuracy (STA) |
||||||||||||||||||||||||
| ruEthics |
Table results:
[[0.013, 0.014
, -0.01, -0.038
, 0.014], |
5 MCC |
Information about the submission:
Team:
MERA
Name of the ML model:
Random submission
Link to the ML model:
https://github.com/ai-forever/MERAArchitecture description:
Random submission. Basic low baseline to compare with.
Description of the training:
Random submission. For each task we randomly choose the result and score the variant.
Pretrain data:
No data.
Training Details:
No training.
License:
-
Strategy, generation and parameters:
-
