Datasets:
Submit evaluation results for Timestral-123M
#53
by adrienpetralia - opened
This view is limited to 50 files because it contains too many changes. See the raw diff here.
- results/Timestral-123M/Australia_Solar/H/long/config.json +40 -0
- results/Timestral-123M/Australia_Solar/H/long/metrics.npz +3 -0
- results/Timestral-123M/Australia_Solar/H/long/predictions.npz +3 -0
- results/Timestral-123M/Australia_Solar/H/medium/config.json +40 -0
- results/Timestral-123M/Australia_Solar/H/medium/metrics.npz +3 -0
- results/Timestral-123M/Australia_Solar/H/medium/predictions.npz +3 -0
- results/Timestral-123M/Australia_Solar/H/short/config.json +40 -0
- results/Timestral-123M/Australia_Solar/H/short/metrics.npz +3 -0
- results/Timestral-123M/Australia_Solar/H/short/predictions.npz +3 -0
- results/Timestral-123M/Auto_Production_SF/M/short/config.json +40 -0
- results/Timestral-123M/Auto_Production_SF/M/short/metrics.npz +3 -0
- results/Timestral-123M/Auto_Production_SF/M/short/predictions.npz +3 -0
- results/Timestral-123M/CPHL/15T/long/config.json +40 -0
- results/Timestral-123M/CPHL/15T/long/metrics.npz +3 -0
- results/Timestral-123M/CPHL/15T/long/predictions.npz +3 -0
- results/Timestral-123M/CPHL/15T/medium/config.json +40 -0
- results/Timestral-123M/CPHL/15T/medium/metrics.npz +3 -0
- results/Timestral-123M/CPHL/15T/medium/predictions.npz +3 -0
- results/Timestral-123M/CPHL/15T/short/config.json +40 -0
- results/Timestral-123M/CPHL/15T/short/metrics.npz +3 -0
- results/Timestral-123M/CPHL/15T/short/predictions.npz +3 -0
- results/Timestral-123M/CPHL/30T/long/config.json +40 -0
- results/Timestral-123M/CPHL/30T/long/metrics.npz +3 -0
- results/Timestral-123M/CPHL/30T/long/predictions.npz +3 -0
- results/Timestral-123M/CPHL/30T/medium/config.json +40 -0
- results/Timestral-123M/CPHL/30T/medium/metrics.npz +3 -0
- results/Timestral-123M/CPHL/30T/medium/predictions.npz +3 -0
- results/Timestral-123M/CPHL/30T/short/config.json +40 -0
- results/Timestral-123M/CPHL/30T/short/metrics.npz +3 -0
- results/Timestral-123M/CPHL/30T/short/predictions.npz +3 -0
- results/Timestral-123M/CPHL/H/long/config.json +40 -0
- results/Timestral-123M/CPHL/H/long/metrics.npz +3 -0
- results/Timestral-123M/CPHL/H/long/predictions.npz +3 -0
- results/Timestral-123M/CPHL/H/medium/config.json +40 -0
- results/Timestral-123M/CPHL/H/medium/metrics.npz +3 -0
- results/Timestral-123M/CPHL/H/medium/predictions.npz +3 -0
- results/Timestral-123M/CPHL/H/short/config.json +40 -0
- results/Timestral-123M/CPHL/H/short/metrics.npz +3 -0
- results/Timestral-123M/CPHL/H/short/predictions.npz +3 -0
- results/Timestral-123M/Coastal_T_S/15T/long/config.json +40 -0
- results/Timestral-123M/Coastal_T_S/15T/long/metrics.npz +3 -0
- results/Timestral-123M/Coastal_T_S/15T/long/predictions.npz +3 -0
- results/Timestral-123M/Coastal_T_S/15T/medium/config.json +40 -0
- results/Timestral-123M/Coastal_T_S/15T/medium/metrics.npz +3 -0
- results/Timestral-123M/Coastal_T_S/15T/medium/predictions.npz +3 -0
- results/Timestral-123M/Coastal_T_S/15T/short/config.json +40 -0
- results/Timestral-123M/Coastal_T_S/15T/short/metrics.npz +3 -0
- results/Timestral-123M/Coastal_T_S/15T/short/predictions.npz +3 -0
- results/Timestral-123M/Coastal_T_S/20T/long/config.json +40 -0
- results/Timestral-123M/Coastal_T_S/20T/long/metrics.npz +3 -0
results/Timestral-123M/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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"freq": "H",
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"seasonality": 24,
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"context_length": 34896,
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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": "Timestral-123M",
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"model_id": "mistralai/Timestral-123M",
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"max_context": 32768,
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"per_shot_horizon_patches": 32,
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"symmetric_averaging": true,
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"clip_nonnegative": true,
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"to_univariate": false
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}
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results/Timestral-123M/Australia_Solar/H/long/metrics.npz
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size 4537
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results/Timestral-123M/Australia_Solar/H/long/predictions.npz
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results/Timestral-123M/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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"freq": "H",
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"seasonality": 24,
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"context_length": 34992,
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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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"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": "Timestral-123M",
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"model_id": "mistralai/Timestral-123M",
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"max_context": 32768,
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"per_shot_horizon_patches": 32,
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"symmetric_averaging": true,
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"clip_nonnegative": true,
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"to_univariate": false
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}
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results/Timestral-123M/Australia_Solar/H/medium/metrics.npz
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size 8362
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results/Timestral-123M/Australia_Solar/H/medium/predictions.npz
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results/Timestral-123M/Australia_Solar/H/short/config.json
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{
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"dataset_config": "Australia_Solar/H/short",
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"freq": "H",
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"context_length": 35040,
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"metric_names": [
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"RMSE",
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"MAPE",
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"ND",
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"prediction_scale_factor": 100.0,
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"model": "Timestral-123M",
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"model_id": "mistralai/Timestral-123M",
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"max_context": 32768,
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"to_univariate": false
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}
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results/Timestral-123M/Australia_Solar/H/short/metrics.npz
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results/Timestral-123M/Australia_Solar/H/short/predictions.npz
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results/Timestral-123M/Auto_Production_SF/M/short/config.json
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{
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"freq": "M",
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"context_length": 355,
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"metric_names": [
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"prediction_scale_factor": 1.0,
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"model": "Timestral-123M",
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"model_id": "mistralai/Timestral-123M",
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"max_context": 32768,
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results/Timestral-123M/Auto_Production_SF/M/short/metrics.npz
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results/Timestral-123M/Auto_Production_SF/M/short/predictions.npz
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results/Timestral-123M/CPHL/15T/long/config.json
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{
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ADDED
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ADDED
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|
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oid sha256:c3371b4489bd25c45534de955d1df2893d2dcf20434c02894deb229c9e531dcc
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| 3 |
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size 91592
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results/Timestral-123M/Coastal_T_S/15T/short/config.json
ADDED
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@@ -0,0 +1,40 @@
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|
| 1 |
+
{
|
| 2 |
+
"dataset_config": "Coastal_T_S/15T/short",
|
| 3 |
+
"num_series": 5,
|
| 4 |
+
"num_windows": 120,
|
| 5 |
+
"num_variates": 3,
|
| 6 |
+
"prediction_length": 12,
|
| 7 |
+
"num_quantiles": 9,
|
| 8 |
+
"quantile_levels": [
|
| 9 |
+
0.1,
|
| 10 |
+
0.2,
|
| 11 |
+
0.3,
|
| 12 |
+
0.4,
|
| 13 |
+
0.5,
|
| 14 |
+
0.6,
|
| 15 |
+
0.7,
|
| 16 |
+
0.8,
|
| 17 |
+
0.9
|
| 18 |
+
],
|
| 19 |
+
"freq": "15T",
|
| 20 |
+
"seasonality": 96,
|
| 21 |
+
"context_length": 23122,
|
| 22 |
+
"metric_names": [
|
| 23 |
+
"MSE",
|
| 24 |
+
"MAE",
|
| 25 |
+
"RMSE",
|
| 26 |
+
"MAPE",
|
| 27 |
+
"sMAPE",
|
| 28 |
+
"MASE",
|
| 29 |
+
"ND",
|
| 30 |
+
"CRPS"
|
| 31 |
+
],
|
| 32 |
+
"prediction_scale_factor": 1.0,
|
| 33 |
+
"model": "Timestral-123M",
|
| 34 |
+
"model_id": "mistralai/Timestral-123M",
|
| 35 |
+
"max_context": 32768,
|
| 36 |
+
"per_shot_horizon_patches": 32,
|
| 37 |
+
"symmetric_averaging": true,
|
| 38 |
+
"clip_nonnegative": true,
|
| 39 |
+
"to_univariate": false
|
| 40 |
+
}
|
results/Timestral-123M/Coastal_T_S/15T/short/metrics.npz
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:ea663aa0e3e7d43be4fd9c356a3c6bb9dfce9e9a7a9596d04e037257504ca185
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| 3 |
+
size 102927
|
results/Timestral-123M/Coastal_T_S/15T/short/predictions.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:e9c607c03e3e703767775db8d3ad6c12657852b142a0fef562536340ae2162ae
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| 3 |
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size 121880
|
results/Timestral-123M/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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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_config": "Coastal_T_S/20T/long",
|
| 3 |
+
"num_series": 1,
|
| 4 |
+
"num_windows": 5,
|
| 5 |
+
"num_variates": 3,
|
| 6 |
+
"prediction_length": 216,
|
| 7 |
+
"num_quantiles": 9,
|
| 8 |
+
"quantile_levels": [
|
| 9 |
+
0.1,
|
| 10 |
+
0.2,
|
| 11 |
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0.3,
|
| 12 |
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|
| 13 |
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0.5,
|
| 14 |
+
0.6,
|
| 15 |
+
0.7,
|
| 16 |
+
0.8,
|
| 17 |
+
0.9
|
| 18 |
+
],
|
| 19 |
+
"freq": "20T",
|
| 20 |
+
"seasonality": 72,
|
| 21 |
+
"context_length": 7982,
|
| 22 |
+
"metric_names": [
|
| 23 |
+
"MSE",
|
| 24 |
+
"MAE",
|
| 25 |
+
"RMSE",
|
| 26 |
+
"MAPE",
|
| 27 |
+
"sMAPE",
|
| 28 |
+
"MASE",
|
| 29 |
+
"ND",
|
| 30 |
+
"CRPS"
|
| 31 |
+
],
|
| 32 |
+
"prediction_scale_factor": 1.0,
|
| 33 |
+
"model": "Timestral-123M",
|
| 34 |
+
"model_id": "mistralai/Timestral-123M",
|
| 35 |
+
"max_context": 32768,
|
| 36 |
+
"per_shot_horizon_patches": 32,
|
| 37 |
+
"symmetric_averaging": true,
|
| 38 |
+
"clip_nonnegative": true,
|
| 39 |
+
"to_univariate": false
|
| 40 |
+
}
|
results/Timestral-123M/Coastal_T_S/20T/long/metrics.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:ce64ab2e631d947d46e072b724fb05196291ac7481c2284e96065baee747a39b
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| 3 |
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size 2488
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