Text Classification
PEFT
Safetensors
English
decision-model
calibration
lora
multiple-choice
typesafe
qwen3.5
Eval Results (legacy)
Instructions to use jaredpalmer/kev-0.8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jaredpalmer/kev-0.8b with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download training_metrics.json from jaredpalmer/kev-0.8b: direct link, hf CLI and curl.
- Browser
- Download file 326 Bytes
-
https://huggingface.co/jaredpalmer/kev-0.8b/resolve/main/training_metrics.json
- Command line
-
hf download hf://jaredpalmer/kev-0.8b/training_metrics.json
-
curl -L -o training_metrics.json https://huggingface.co/jaredpalmer/kev-0.8b/resolve/main/training_metrics.json
326 Bytes
| { | |
| "wall_seconds": 3136.3209748268127, | |
| "records_seen": 30329, | |
| "requested_records": 22539, | |
| "truncated_records": 0, | |
| "rejected_records": 0, | |
| "optimizer_steps": 2818, | |
| "forward_tokens": 15531716, | |
| "peak_device_bytes": 23937857536, | |
| "device": "cuda", | |
| "dtype": "bf16", | |
| "batch": 4, | |
| "peak_rss_bytes": 10316873728 | |
| } | |