model
eval-mistral-medium llm
A model record: onboarded once for the project and used by any eval's arms.
- weights
- proprietary
- aliases
eval-mistral-medium- settings
- defaults
- onboarding
- not onboarded:
evh model-onboard - best result per goal
- #15 of 33 A scorer that agrees with experts on summaries (SummEval)
#16 of 28 Named-entity extraction (Few-NERD)
#18 of 30 News topic classification (AG News)
#22 of 28 Encyclopedia topic classification (DBpedia)
#26 of 29 Short news summaries (CNN)
01deployments and their onboarding
No deployment is recorded for this model. Not onboarded yet: evh model-onboard eval-mistral-medium.
02settings history
No change of settings or build is recorded.
03arms
| arm | deployment | goal | its settings | arm smoke | result |
|---|---|---|---|---|---|
| ag_mistral_m_n200_v1 · adjudicated ag_news_200 | — | — | max_tokens 200, temperature 0.0 | none | correct 0.945 |
| cnn_mistral_m_n200_v1 · judged/judge-summ-pick-v1 cnn_dailymail_200 | — | — | max_tokens 1200, temperature 0.0 | none | judge_won 0.000 |
| cnn_mistral_m_n200_v1 · judged/judge-summ-v1 cnn_dailymail_200 | — | — | max_tokens 1200, temperature 0.0 | none | judge_score 4.708 |
| cnn_mistral_m_n200_v1 · judged/judge-summ-v2 cnn_dailymail_200 | — | — | max_tokens 1200, temperature 0.0 | none | judge_score 4.309 |
| cnn_mistral_m_n200_v1 · silver cnn_dailymail_200 | — | — | max_tokens 1200, temperature 0.0 | none | coverage 0.320 |
| ag_mistral_m_n200_v1 ag_news_200 | — | News topic classification (AG News) | max_tokens 200, temperature 0.0 | none | correct 0.860 |
| cnn_mistral_m_n200_v1 cnn_dailymail_200 | — | Short news summaries (CNN) | max_tokens 1200, temperature 0.0 | none | coverage 0.304 |
| db_mistral_m_n200_v1 dbpedia_280 | — | Encyclopedia topic classification (DBpedia) | max_tokens 200, temperature 0.0 | none | correct 0.957 |
| fn_mistral_m_n200_v1 few_nerd_280 | — | Named-entity extraction (Few-NERD) | max_tokens 600, temperature 0.0 | none | f1 0.591 |
| se_mistral_m_n100_v1 summeval_100 | — | A scorer that agrees with experts on summaries (SummEval) | max_tokens 1500, temperature 0.0 | none | tau 0.468 |