Download results/train.json from jgalego/bridge2vec: direct link, hf CLI and curl.
- Browser
- Download file 509 Bytes
-
https://huggingface.co/jgalego/bridge2vec/resolve/main/results/train.json
- Command line
-
hf download hf://jgalego/bridge2vec/results/train.json
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curl -L -o train.json https://huggingface.co/jgalego/bridge2vec/resolve/main/results/train.json
509 Bytes
| { | |
| "step": 49999, | |
| "loss": 2.7616, | |
| "table": 0.8088, | |
| "value": 5.3021, | |
| "shape": 0.0011, | |
| "metric": 4.7414, | |
| "exact": 0.648, | |
| "minutes": 117.4, | |
| "data": "jgalego/bridge2vec-deals", | |
| "deals": 200000, | |
| "steps": 50000, | |
| "batch_size": 1024, | |
| "learning_rate": 0.0003, | |
| "value_weight": 0.1, | |
| "aux_weight": 0.1, | |
| "metric_weight": 0.3, | |
| "temperature": 0.1, | |
| "target_temperature": 0.1, | |
| "dim": 256, | |
| "depth": 4, | |
| "embed_dim": 128, | |
| "hidden": 1024, | |
| "parameters": 4912479, | |
| "runtime_s": 7050, | |
| "device": "NVIDIA A10G" | |
| } |