Text Classification
Laya
ONNX
Safetensors
English
typed-decisions
system-one
calibration
distillation
edge
cybersecurity
pawn
Instructions to use nuhmanpk/pawn-17m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use nuhmanpk/pawn-17m with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download train_log.json from nuhmanpk/pawn-17m: direct link, hf CLI and curl.
- Browser
- Download file 277 Bytes
-
https://huggingface.co/nuhmanpk/pawn-17m/resolve/main/train_log.json
- Command line
-
hf download hf://nuhmanpk/pawn-17m/train_log.json
-
curl -L -o train_log.json https://huggingface.co/nuhmanpk/pawn-17m/resolve/main/train_log.json
277 Bytes
| { | |
| "epoch_losses": [ | |
| 0.9550298632444494, | |
| 0.8516627593506506, | |
| 0.8382220598843203, | |
| 0.8489890724778616 | |
| ], | |
| "train_minutes": 14.131237697601318, | |
| "temperatures": [ | |
| 0.8665059804916382, | |
| 0.7969465255737305, | |
| 0.7270585894584656 | |
| ], | |
| "n_items": 69240 | |
| } |