Datasets:
Submit evaluation results for Toto-2.0-2.5B
#21
by chris-lettieri-dd - opened
This view is limited to 50 files because it contains too many changes. See the raw diff here.
- results/Toto-2.0-2.5B/Australia_Solar/H/long/config.json +40 -0
- results/Toto-2.0-2.5B/Australia_Solar/H/long/metrics.npz +3 -0
- results/Toto-2.0-2.5B/Australia_Solar/H/long/predictions.npz +3 -0
- results/Toto-2.0-2.5B/Australia_Solar/H/medium/config.json +40 -0
- results/Toto-2.0-2.5B/Australia_Solar/H/medium/metrics.npz +3 -0
- results/Toto-2.0-2.5B/Australia_Solar/H/medium/predictions.npz +3 -0
- results/Toto-2.0-2.5B/Australia_Solar/H/short/config.json +40 -0
- results/Toto-2.0-2.5B/Australia_Solar/H/short/metrics.npz +3 -0
- results/Toto-2.0-2.5B/Australia_Solar/H/short/predictions.npz +3 -0
- results/Toto-2.0-2.5B/Auto_Production_SF/M/short/config.json +40 -0
- results/Toto-2.0-2.5B/Auto_Production_SF/M/short/metrics.npz +3 -0
- results/Toto-2.0-2.5B/Auto_Production_SF/M/short/predictions.npz +3 -0
- results/Toto-2.0-2.5B/CPHL/15T/long/config.json +40 -0
- results/Toto-2.0-2.5B/CPHL/15T/long/metrics.npz +3 -0
- results/Toto-2.0-2.5B/CPHL/15T/long/predictions.npz +3 -0
- results/Toto-2.0-2.5B/CPHL/15T/medium/config.json +40 -0
- results/Toto-2.0-2.5B/CPHL/15T/medium/metrics.npz +3 -0
- results/Toto-2.0-2.5B/CPHL/15T/medium/predictions.npz +3 -0
- results/Toto-2.0-2.5B/CPHL/15T/short/config.json +40 -0
- results/Toto-2.0-2.5B/CPHL/15T/short/metrics.npz +3 -0
- results/Toto-2.0-2.5B/CPHL/15T/short/predictions.npz +3 -0
- results/Toto-2.0-2.5B/CPHL/30T/long/config.json +40 -0
- results/Toto-2.0-2.5B/CPHL/30T/long/metrics.npz +3 -0
- results/Toto-2.0-2.5B/CPHL/30T/long/predictions.npz +3 -0
- results/Toto-2.0-2.5B/CPHL/30T/medium/config.json +40 -0
- results/Toto-2.0-2.5B/CPHL/30T/medium/metrics.npz +3 -0
- results/Toto-2.0-2.5B/CPHL/30T/medium/predictions.npz +3 -0
- results/Toto-2.0-2.5B/CPHL/30T/short/config.json +40 -0
- results/Toto-2.0-2.5B/CPHL/30T/short/metrics.npz +3 -0
- results/Toto-2.0-2.5B/CPHL/30T/short/predictions.npz +3 -0
- results/Toto-2.0-2.5B/CPHL/H/long/config.json +40 -0
- results/Toto-2.0-2.5B/CPHL/H/long/metrics.npz +3 -0
- results/Toto-2.0-2.5B/CPHL/H/long/predictions.npz +3 -0
- results/Toto-2.0-2.5B/CPHL/H/medium/config.json +40 -0
- results/Toto-2.0-2.5B/CPHL/H/medium/metrics.npz +3 -0
- results/Toto-2.0-2.5B/CPHL/H/medium/predictions.npz +3 -0
- results/Toto-2.0-2.5B/CPHL/H/short/config.json +40 -0
- results/Toto-2.0-2.5B/CPHL/H/short/metrics.npz +3 -0
- results/Toto-2.0-2.5B/CPHL/H/short/predictions.npz +3 -0
- results/Toto-2.0-2.5B/Coastal_T_S/15T/long/config.json +40 -0
- results/Toto-2.0-2.5B/Coastal_T_S/15T/long/metrics.npz +3 -0
- results/Toto-2.0-2.5B/Coastal_T_S/15T/long/predictions.npz +3 -0
- results/Toto-2.0-2.5B/Coastal_T_S/15T/medium/config.json +40 -0
- results/Toto-2.0-2.5B/Coastal_T_S/15T/medium/metrics.npz +3 -0
- results/Toto-2.0-2.5B/Coastal_T_S/15T/medium/predictions.npz +3 -0
- results/Toto-2.0-2.5B/Coastal_T_S/15T/short/config.json +40 -0
- results/Toto-2.0-2.5B/Coastal_T_S/15T/short/metrics.npz +3 -0
- results/Toto-2.0-2.5B/Coastal_T_S/15T/short/predictions.npz +3 -0
- results/Toto-2.0-2.5B/Coastal_T_S/20T/long/config.json +40 -0
- results/Toto-2.0-2.5B/Coastal_T_S/20T/long/metrics.npz +3 -0
results/Toto-2.0-2.5B/Australia_Solar/H/long/config.json
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{
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"dataset_config": "Australia_Solar/H/long",
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"num_series": 1,
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"num_windows": 15,
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"num_variates": 3,
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"prediction_length": 168,
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"num_quantiles": 9,
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"quantile_levels": [
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],
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"freq": "H",
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"seasonality": 24,
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"context_length": 4096,
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"metric_names": [
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"MSE",
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"MAE",
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"RMSE",
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"MAPE",
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"sMAPE",
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"MASE",
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"ND",
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"CRPS"
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],
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"prediction_scale_factor": 100.0,
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"model_name": "Toto-2.0-2.5B",
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"model_weights_path": "s3://dd-data-science-us1-prod/ray/foundation-models/chris-lettieri/20260403_mup_pretrained_toto_v2_final_scaleup/xxl_deep_pretrained_600k/checkpoint_2026-05-04_17-11-08.953519",
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"batch_size": 512,
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"decode_block_size": 0,
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"imputation_internal": "ffill",
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"scaler_fallback_min_obs": 8,
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"quantile_real_cap_k": 10000.0
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}
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results/Toto-2.0-2.5B/Australia_Solar/H/long/metrics.npz
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version https://git-lfs.github.com/spec/v1
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oid sha256:80726280e97a8f84549c0d293d80f8359c980a1d85d7807d330fff8aaba0b4da
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size 4542
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results/Toto-2.0-2.5B/Australia_Solar/H/long/predictions.npz
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version https://git-lfs.github.com/spec/v1
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size 122555
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results/Toto-2.0-2.5B/Australia_Solar/H/medium/config.json
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{
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"dataset_config": "Australia_Solar/H/medium",
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"num_series": 1,
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"num_windows": 35,
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"num_variates": 3,
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"prediction_length": 72,
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"num_quantiles": 9,
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"quantile_levels": [
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0.1,
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0.2,
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0.3,
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0.7,
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0.8,
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0.9
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],
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"freq": "H",
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"seasonality": 24,
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"context_length": 4096,
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"metric_names": [
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"MSE",
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"MAE",
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"RMSE",
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"MAPE",
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"sMAPE",
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"MASE",
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"ND",
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"CRPS"
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],
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"prediction_scale_factor": 100.0,
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"model_name": "Toto-2.0-2.5B",
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"model_weights_path": "s3://dd-data-science-us1-prod/ray/foundation-models/chris-lettieri/20260403_mup_pretrained_toto_v2_final_scaleup/xxl_deep_pretrained_600k/checkpoint_2026-05-04_17-11-08.953519",
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"batch_size": 512,
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"decode_block_size": 0,
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"imputation_internal": "ffill",
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"scaler_fallback_min_obs": 8,
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"quantile_real_cap_k": 10000.0
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}
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results/Toto-2.0-2.5B/Australia_Solar/H/medium/metrics.npz
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version https://git-lfs.github.com/spec/v1
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size 8382
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results/Toto-2.0-2.5B/Australia_Solar/H/medium/predictions.npz
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version https://git-lfs.github.com/spec/v1
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size 122163
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results/Toto-2.0-2.5B/Australia_Solar/H/short/config.json
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{
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"dataset_config": "Australia_Solar/H/short",
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"num_series": 1,
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"num_windows": 105,
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"num_variates": 3,
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"prediction_length": 24,
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"num_quantiles": 9,
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"quantile_levels": [
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0.2,
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0.3,
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0.4,
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0.5,
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0.6,
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0.8,
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0.9
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],
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"freq": "H",
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"seasonality": 24,
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"context_length": 4096,
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"metric_names": [
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"MSE",
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"MAE",
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"RMSE",
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"MAPE",
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"sMAPE",
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"MASE",
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"ND",
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"CRPS"
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],
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"prediction_scale_factor": 100.0,
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"model_name": "Toto-2.0-2.5B",
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"model_weights_path": "s3://dd-data-science-us1-prod/ray/foundation-models/chris-lettieri/20260403_mup_pretrained_toto_v2_final_scaleup/xxl_deep_pretrained_600k/checkpoint_2026-05-04_17-11-08.953519",
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"batch_size": 512,
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"decode_block_size": 0,
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"imputation_internal": "ffill",
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"scaler_fallback_min_obs": 8,
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"quantile_real_cap_k": 10000.0
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}
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results/Toto-2.0-2.5B/Australia_Solar/H/short/metrics.npz
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size 20775
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results/Toto-2.0-2.5B/Australia_Solar/H/short/predictions.npz
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size 122477
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results/Toto-2.0-2.5B/Auto_Production_SF/M/short/config.json
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{
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"dataset_config": "Auto_Production_SF/M/short",
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"num_series": 1,
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"num_windows": 5,
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"num_variates": 1,
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"prediction_length": 12,
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"num_quantiles": 9,
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"quantile_levels": [
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0.1,
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0.2,
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0.3,
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0.4,
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0.5,
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0.6,
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0.7,
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0.8,
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0.9
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],
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"freq": "M",
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"seasonality": 12,
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"context_length": 4096,
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"metric_names": [
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"MSE",
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"MAE",
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"RMSE",
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"MAPE",
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"sMAPE",
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"MASE",
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"ND",
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"CRPS"
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],
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"prediction_scale_factor": 1.0,
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"model_name": "Toto-2.0-2.5B",
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"model_weights_path": "s3://dd-data-science-us1-prod/ray/foundation-models/chris-lettieri/20260403_mup_pretrained_toto_v2_final_scaleup/xxl_deep_pretrained_600k/checkpoint_2026-05-04_17-11-08.953519",
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"batch_size": 512,
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"decode_block_size": 0,
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"imputation_internal": "ffill",
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"scaler_fallback_min_obs": 8,
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"quantile_real_cap_k": 10000.0
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}
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results/Toto-2.0-2.5B/Auto_Production_SF/M/short/metrics.npz
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version https://git-lfs.github.com/spec/v1
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size 1821
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results/Toto-2.0-2.5B/Auto_Production_SF/M/short/predictions.npz
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ADDED
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|
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results/Toto-2.0-2.5B/CPHL/15T/medium/metrics.npz
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results/Toto-2.0-2.5B/CPHL/15T/short/config.json
ADDED
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|
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ADDED
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results/Toto-2.0-2.5B/CPHL/30T/long/config.json
ADDED
|
@@ -0,0 +1,40 @@
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| 1 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
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| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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|
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|
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|
| 38 |
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|
| 39 |
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|
| 40 |
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results/Toto-2.0-2.5B/CPHL/30T/long/metrics.npz
ADDED
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results/Toto-2.0-2.5B/CPHL/30T/medium/config.json
ADDED
|
@@ -0,0 +1,40 @@
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| 1 |
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|
| 2 |
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|
| 3 |
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|
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|
| 5 |
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|
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|
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
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|
| 38 |
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|
| 39 |
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|
| 40 |
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results/Toto-2.0-2.5B/CPHL/30T/medium/metrics.npz
ADDED
|
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ADDED
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| 1 |
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|
| 3 |
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|
| 4 |
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results/Toto-2.0-2.5B/CPHL/H/long/config.json
ADDED
|
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|
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|
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|
results/Toto-2.0-2.5B/CPHL/H/long/metrics.npz
ADDED
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results/Toto-2.0-2.5B/CPHL/H/medium/config.json
ADDED
|
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|
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ADDED
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results/Toto-2.0-2.5B/CPHL/H/short/config.json
ADDED
|
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|
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|
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|
| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 28 |
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|
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results/Toto-2.0-2.5B/CPHL/H/short/metrics.npz
ADDED
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ADDED
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results/Toto-2.0-2.5B/Coastal_T_S/15T/long/config.json
ADDED
|
@@ -0,0 +1,40 @@
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
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|
| 7 |
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|
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
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|
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|
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
results/Toto-2.0-2.5B/Coastal_T_S/15T/long/metrics.npz
ADDED
|
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| 1 |
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results/Toto-2.0-2.5B/Coastal_T_S/15T/long/predictions.npz
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results/Toto-2.0-2.5B/Coastal_T_S/15T/medium/config.json
ADDED
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@@ -0,0 +1,40 @@
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| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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|
| 39 |
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|
| 40 |
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}
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results/Toto-2.0-2.5B/Coastal_T_S/15T/medium/metrics.npz
ADDED
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size 14853
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results/Toto-2.0-2.5B/Coastal_T_S/15T/medium/predictions.npz
ADDED
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results/Toto-2.0-2.5B/Coastal_T_S/15T/short/config.json
ADDED
|
@@ -0,0 +1,40 @@
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|
| 1 |
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{
|
| 2 |
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"dataset_config": "Coastal_T_S/15T/short",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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"metric_names": [
|
| 23 |
+
"MSE",
|
| 24 |
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"MAE",
|
| 25 |
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"RMSE",
|
| 26 |
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"MAPE",
|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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"prediction_scale_factor": 1.0,
|
| 33 |
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"model_name": "Toto-2.0-2.5B",
|
| 34 |
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"model_weights_path": "s3://dd-data-science-us1-prod/ray/foundation-models/chris-lettieri/20260403_mup_pretrained_toto_v2_final_scaleup/xxl_deep_pretrained_600k/checkpoint_2026-05-04_17-11-08.953519",
|
| 35 |
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|
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
+
}
|
results/Toto-2.0-2.5B/Coastal_T_S/15T/short/metrics.npz
ADDED
|
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size 103110
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results/Toto-2.0-2.5B/Coastal_T_S/15T/short/predictions.npz
ADDED
|
@@ -0,0 +1,3 @@
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size 124044
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results/Toto-2.0-2.5B/Coastal_T_S/20T/long/config.json
ADDED
|
@@ -0,0 +1,40 @@
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|
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|
|
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|
|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"dataset_config": "Coastal_T_S/20T/long",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
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|
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| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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"metric_names": [
|
| 23 |
+
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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"model_weights_path": "s3://dd-data-science-us1-prod/ray/foundation-models/chris-lettieri/20260403_mup_pretrained_toto_v2_final_scaleup/xxl_deep_pretrained_600k/checkpoint_2026-05-04_17-11-08.953519",
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
+
}
|
results/Toto-2.0-2.5B/Coastal_T_S/20T/long/metrics.npz
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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size 2482
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