Text Classification
PEFT
Safetensors
English
decision-model
calibration
lora
multiple-choice
typesafe
Eval Results (legacy)
Instructions to use jaredpalmer/kev-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jaredpalmer/kev-8b with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
kev-8b preview, decision-v7 recipe (transfer 0.796 dev / 0.780 locked; in-distribution 0.870 locked)
49352ab verified Download training_metrics.json from jaredpalmer/kev-8b: direct link, hf CLI and curl.
- Browser
- Download file 324 Bytes
-
https://huggingface.co/jaredpalmer/kev-8b/resolve/main/training_metrics.json
- Command line
-
hf download hf://jaredpalmer/kev-8b/training_metrics.json
-
curl -L -o training_metrics.json https://huggingface.co/jaredpalmer/kev-8b/resolve/main/training_metrics.json
324 Bytes
| { | |
| "wall_seconds": 4971.822593688965, | |
| "records_seen": 30428, | |
| "requested_records": 25152, | |
| "truncated_records": 0, | |
| "rejected_records": 0, | |
| "optimizer_steps": 3144, | |
| "forward_tokens": 5875620, | |
| "peak_device_bytes": 36937969664, | |
| "device": "cuda", | |
| "dtype": "bf16", | |
| "batch": 2, | |
| "peak_rss_bytes": 39185330176 | |
| } | |