Download results/train.json from jgalego/knot2vec: direct link, hf CLI and curl.
- Browser
- Download file 393 Bytes
-
https://huggingface.co/jgalego/knot2vec/resolve/main/results/train.json
- Command line
-
hf download hf://jgalego/knot2vec/results/train.json
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curl -L -o train.json https://huggingface.co/jgalego/knot2vec/resolve/main/results/train.json
393 Bytes
| { | |
| "step": 9999, | |
| "loss": 1.1689, | |
| "contrastive": 0.5045, | |
| "invariants": 0.6644, | |
| "pair_top1": 0.869, | |
| "minutes": 92.2, | |
| "data": "jgalego/knot2vec-diagrams-hard", | |
| "steps": 10000, | |
| "batch_size": 512, | |
| "learning_rate": 0.0001, | |
| "temperature": 0.05, | |
| "aux_weight": 1.0, | |
| "init": "jgalego/knot2vec", | |
| "dim": 256, | |
| "depth": 6, | |
| "parameters": 4974095, | |
| "runtime_s": 5533, | |
| "device": "NVIDIA A10G" | |
| } |