Submit evaluation results for Timestral-5M (part 2)

Results of [Timestral-5M](https://huggingface.co/mistralai/Timestral-5M) from Mistral AI, made with `SIZE=5M bash scripts/run_timestral.sh` (GitHub PR: https://github.com/zqiao11/TIME/pull/14).

results/Timestral-5M/current_velocity/15T/long/metrics.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a3394c69c2b8dc458bc5f0dc095c3a0b8a714dce24e13eedb30678ceb14ee98a
+size 10855

results/Timestral-5M/current_velocity/15T/long/predictions.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7c7e38bb6feb80b0980ca7e8261d85ceb7a5c1e678cb39f3d3a8386005545f1b
+size 451338

results/Timestral-5M/current_velocity/15T/medium/config.json

@@ -0,0 +1,40 @@
+{
+  "dataset_config": "current_velocity/15T/medium",
+  "num_series": 5,
+  "num_windows": 15,
+  "num_variates": 6,
+  "prediction_length": 96,
+  "num_quantiles": 9,
+  "quantile_levels": [
+    0.1,
+    0.2,
+    0.3,
+    0.4,
+    0.5,
+    0.6,
+    0.7,
+    0.8,
+    0.9
+  ],
+  "freq": "15T",
+  "seasonality": 96,
+  "context_length": 17857,
+  "metric_names": [
+    "MSE",
+    "MAE",
+    "RMSE",
+    "MAPE",
+    "sMAPE",
+    "MASE",
+    "ND",
+    "CRPS"
+  ],
+  "prediction_scale_factor": 1.0,
+  "model": "Timestral-5M",
+  "model_id": "mistralai/Timestral-5M",
+  "max_context": 32768,
+  "per_shot_horizon_patches": 32,
+  "symmetric_averaging": true,
+  "clip_nonnegative": true,
+  "to_univariate": false
+}

results/Timestral-5M/current_velocity/15T/medium/metrics.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:355041b0cf4bf190167d94622c57549b79648e7b692adf098079532f2f1672c3
+size 28256

results/Timestral-5M/current_velocity/15T/medium/predictions.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5fc651e907d592dc2ba81a3753cdc762c26a3dd9755d6a199ec5afacde25e841
+size 472237

results/Timestral-5M/current_velocity/15T/short/config.json

@@ -0,0 +1,40 @@
+{
+  "dataset_config": "current_velocity/15T/short",
+  "num_series": 5,
+  "num_windows": 120,
+  "num_variates": 6,
+  "prediction_length": 12,
+  "num_quantiles": 9,
+  "quantile_levels": [
+    0.1,
+    0.2,
+    0.3,
+    0.4,
+    0.5,
+    0.6,
+    0.7,
+    0.8,
+    0.9
+  ],
+  "freq": "15T",
+  "seasonality": 96,
+  "context_length": 17941,
+  "metric_names": [
+    "MSE",
+    "MAE",
+    "RMSE",
+    "MAPE",
+    "sMAPE",
+    "MASE",
+    "ND",
+    "CRPS"
+  ],
+  "prediction_scale_factor": 1.0,
+  "model": "Timestral-5M",
+  "model_id": "mistralai/Timestral-5M",
+  "max_context": 32768,
+  "per_shot_horizon_patches": 32,
+  "symmetric_averaging": true,
+  "clip_nonnegative": true,
+  "to_univariate": false
+}

results/Timestral-5M/current_velocity/15T/short/metrics.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc2f4b4c366f7fb51a9e75614b2838fd75e1079fa2e5c206f361a33db41ed178
+size 208688

results/Timestral-5M/current_velocity/15T/short/predictions.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6650426d2d87d4d09b4aec4d638212283021dc19de8c0f0f315ced321d7721db
+size 510800

results/Timestral-5M/current_velocity/20T/long/config.json

@@ -0,0 +1,40 @@
+{
+  "dataset_config": "current_velocity/20T/long",
+  "num_series": 27,
+  "num_windows": 5,
+  "num_variates": 6,
+  "prediction_length": 216,
+  "num_quantiles": 9,
+  "quantile_levels": [
+    0.1,
+    0.2,
+    0.3,
+    0.4,
+    0.5,
+    0.6,
+    0.7,
+    0.8,
+    0.9
+  ],
+  "freq": "20T",
+  "seasonality": 72,
+  "context_length": 16543,
+  "metric_names": [
+    "MSE",
+    "MAE",
+    "RMSE",
+    "MAPE",
+    "sMAPE",
+    "MASE",
+    "ND",
+    "CRPS"
+  ],
+  "prediction_scale_factor": 1.0,
+  "model": "Timestral-5M",
+  "model_id": "mistralai/Timestral-5M",
+  "max_context": 32768,
+  "per_shot_horizon_patches": 32,
+  "symmetric_averaging": true,
+  "clip_nonnegative": true,
+  "to_univariate": false
+}

results/Timestral-5M/current_velocity/20T/long/metrics.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f1de1c24610c918f2eeecd99883cf7d5229d6776d478be97bc8813ff9547195
+size 49600

results/Timestral-5M/current_velocity/20T/long/predictions.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2908af491ceb85a42577493f9fd813b1c2dd0c9f2bc7292a331cfa09effd75ce
+size 2020631

results/Timestral-5M/current_velocity/20T/medium/config.json

@@ -0,0 +1,40 @@
+{
+  "dataset_config": "current_velocity/20T/medium",
+  "num_series": 27,
+  "num_windows": 15,
+  "num_variates": 6,
+  "prediction_length": 72,
+  "num_quantiles": 9,
+  "quantile_levels": [
+    0.1,
+    0.2,
+    0.3,
+    0.4,
+    0.5,
+    0.6,
+    0.7,
+    0.8,
+    0.9
+  ],
+  "freq": "20T",
+  "seasonality": 72,
+  "context_length": 16687,
+  "metric_names": [
+    "MSE",
+    "MAE",
+    "RMSE",
+    "MAPE",
+    "sMAPE",
+    "MASE",
+    "ND",
+    "CRPS"
+  ],
+  "prediction_scale_factor": 1.0,
+  "model": "Timestral-5M",
+  "model_id": "mistralai/Timestral-5M",
+  "max_context": 32768,
+  "per_shot_horizon_patches": 32,
+  "symmetric_averaging": true,
+  "clip_nonnegative": true,
+  "to_univariate": false
+}

results/Timestral-5M/current_velocity/20T/medium/metrics.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e7582895aa14107db18587de129cd767eaa99e2d8cda22adcc170106b8071e15
+size 143516

results/Timestral-5M/current_velocity/20T/medium/predictions.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c3276716ce01a6133eeaad62c57d9f8e0832c8a4766cfe1a1829df12eaba3dba
+size 2093427

results/Timestral-5M/current_velocity/20T/short/config.json

@@ -0,0 +1,40 @@
+{
+  "dataset_config": "current_velocity/20T/short",
+  "num_series": 27,
+  "num_windows": 120,
+  "num_variates": 6,
+  "prediction_length": 9,
+  "num_quantiles": 9,
+  "quantile_levels": [
+    0.1,
+    0.2,
+    0.3,
+    0.4,
+    0.5,
+    0.6,
+    0.7,
+    0.8,
+    0.9
+  ],
+  "freq": "20T",
+  "seasonality": 72,
+  "context_length": 16750,
+  "metric_names": [
+    "MSE",
+    "MAE",
+    "RMSE",
+    "MAPE",
+    "sMAPE",
+    "MASE",
+    "ND",
+    "CRPS"
+  ],
+  "prediction_scale_factor": 1.0,
+  "model": "Timestral-5M",
+  "model_id": "mistralai/Timestral-5M",
+  "max_context": 32768,
+  "per_shot_horizon_patches": 32,
+  "symmetric_averaging": true,
+  "clip_nonnegative": true,
+  "to_univariate": false
+}

results/Timestral-5M/current_velocity/20T/short/metrics.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d49c0658a4f06066d00c9ef6266f95ed8b6e899c1bee85727e676a74814d8bef
+size 1113340

results/Timestral-5M/current_velocity/20T/short/predictions.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:621219fc5054c8476b30ba5d30ef542763fc39940bb00c4a06a0607e09302b24
+size 2219654

results/Timestral-5M/current_velocity/5T/long/config.json

@@ -0,0 +1,40 @@
+{
+  "dataset_config": "current_velocity/5T/long",
+  "num_series": 1,
+  "num_windows": 5,
+  "num_variates": 6,
+  "prediction_length": 864,
+  "num_quantiles": 9,
+  "quantile_levels": [
+    0.1,
+    0.2,
+    0.3,
+    0.4,
+    0.5,
+    0.6,
+    0.7,
+    0.8,
+    0.9
+  ],
+  "freq": "5T",
+  "seasonality": 288,
+  "context_length": 25622,
+  "metric_names": [
+    "MSE",
+    "MAE",
+    "RMSE",
+    "MAPE",
+    "sMAPE",
+    "MASE",
+    "ND",
+    "CRPS"
+  ],
+  "prediction_scale_factor": 1.0,
+  "model": "Timestral-5M",
+  "model_id": "mistralai/Timestral-5M",
+  "max_context": 32768,
+  "per_shot_horizon_patches": 32,
+  "symmetric_averaging": true,
+  "clip_nonnegative": true,
+  "to_univariate": false
+}

results/Timestral-5M/current_velocity/5T/long/metrics.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:642fdd89a5c010fa57d39723f2698ddf1d877f569e68a9a242dfad128c8d00af
+size 3499

results/Timestral-5M/current_velocity/5T/long/predictions.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd700855cca90fcb0851f654f0ebe828c664999b76b2fadaf05448fb29a945fa
+size 224469

results/Timestral-5M/current_velocity/5T/medium/config.json

@@ -0,0 +1,40 @@
+{
+  "dataset_config": "current_velocity/5T/medium",
+  "num_series": 1,
+  "num_windows": 15,
+  "num_variates": 6,
+  "prediction_length": 288,
+  "num_quantiles": 9,
+  "quantile_levels": [
+    0.1,
+    0.2,
+    0.3,
+    0.4,
+    0.5,
+    0.6,
+    0.7,
+    0.8,
+    0.9
+  ],
+  "freq": "5T",
+  "seasonality": 288,
+  "context_length": 26198,
+  "metric_names": [
+    "MSE",
+    "MAE",
+    "RMSE",
+    "MAPE",
+    "sMAPE",
+    "MASE",
+    "ND",
+    "CRPS"
+  ],
+  "prediction_scale_factor": 1.0,
+  "model": "Timestral-5M",
+  "model_id": "mistralai/Timestral-5M",
+  "max_context": 32768,
+  "per_shot_horizon_patches": 32,
+  "symmetric_averaging": true,
+  "clip_nonnegative": true,
+  "to_univariate": false
+}

results/Timestral-5M/current_velocity/5T/medium/metrics.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:182a07a18915b5328c289dc9af46f3c817166f4153b36c908342803ce74417a4
+size 7260

results/Timestral-5M/current_velocity/5T/medium/predictions.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:23ab99a9c29d9e18865926170b92858991d26cb65d8d59f089c93ce1c03f478c
+size 231338

results/Timestral-5M/current_velocity/5T/short/config.json

@@ -0,0 +1,40 @@
+{
+  "dataset_config": "current_velocity/5T/short",
+  "num_series": 1,
+  "num_windows": 120,
+  "num_variates": 6,
+  "prediction_length": 36,
+  "num_quantiles": 9,
+  "quantile_levels": [
+    0.1,
+    0.2,
+    0.3,
+    0.4,
+    0.5,
+    0.6,
+    0.7,
+    0.8,
+    0.9
+  ],
+  "freq": "5T",
+  "seasonality": 288,
+  "context_length": 26450,
+  "metric_names": [
+    "MSE",
+    "MAE",
+    "RMSE",
+    "MAPE",
+    "sMAPE",
+    "MASE",
+    "ND",
+    "CRPS"
+  ],
+  "prediction_scale_factor": 1.0,
+  "model": "Timestral-5M",
+  "model_id": "mistralai/Timestral-5M",
+  "max_context": 32768,
+  "per_shot_horizon_patches": 32,
+  "symmetric_averaging": true,
+  "clip_nonnegative": true,
+  "to_univariate": false
+}

results/Timestral-5M/current_velocity/5T/short/metrics.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:05515b32c36e25f1560df25f08e29573dd21636b0f338200d1642335291508c4
+size 43295

results/Timestral-5M/current_velocity/5T/short/predictions.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c6316a477b1a9cf12a9b3b69eb5e1ff7cb547b8aeb4c888aae4c6cfbf6b39938
+size 253171

results/Timestral-5M/current_velocity/H/long/config.json

@@ -0,0 +1,40 @@
+{
+  "dataset_config": "current_velocity/H/long",
+  "num_series": 21,
+  "num_windows": 2,
+  "num_variates": 6,
+  "prediction_length": 336,
+  "num_quantiles": 9,
+  "quantile_levels": [
+    0.1,
+    0.2,
+    0.3,
+    0.4,
+    0.5,
+    0.6,
+    0.7,
+    0.8,
+    0.9
+  ],
+  "freq": "H",
+  "seasonality": 24,
+  "context_length": 5251,
+  "metric_names": [
+    "MSE",
+    "MAE",
+    "RMSE",
+    "MAPE",
+    "sMAPE",
+    "MASE",
+    "ND",
+    "CRPS"
+  ],
+  "prediction_scale_factor": 1.0,
+  "model": "Timestral-5M",
+  "model_id": "mistralai/Timestral-5M",
+  "max_context": 32768,
+  "per_shot_horizon_patches": 32,
+  "symmetric_averaging": true,
+  "clip_nonnegative": true,
+  "to_univariate": false
+}

results/Timestral-5M/current_velocity/H/long/metrics.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aedc8d5758a05d121f6be931cce31c63deb7919bc2b9b3eb85fe6af086d70238
+size 16903

results/Timestral-5M/current_velocity/H/long/predictions.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:59b6c7f9f0f43fbe8d882ed66b5e871bb378c757716c7077b46e9cf8c264a744
+size 1066145

results/Timestral-5M/current_velocity/H/medium/config.json

@@ -0,0 +1,40 @@
+{
+  "dataset_config": "current_velocity/H/medium",
+  "num_series": 21,
+  "num_windows": 4,
+  "num_variates": 6,
+  "prediction_length": 168,
+  "num_quantiles": 9,
+  "quantile_levels": [
+    0.1,
+    0.2,
+    0.3,
+    0.4,
+    0.5,
+    0.6,
+    0.7,
+    0.8,
+    0.9
+  ],
+  "freq": "H",
+  "seasonality": 24,
+  "context_length": 5419,
+  "metric_names": [
+    "MSE",
+    "MAE",
+    "RMSE",
+    "MAPE",
+    "sMAPE",
+    "MASE",
+    "ND",
+    "CRPS"
+  ],
+  "prediction_scale_factor": 1.0,
+  "model": "Timestral-5M",
+  "model_id": "mistralai/Timestral-5M",
+  "max_context": 32768,
+  "per_shot_horizon_patches": 32,
+  "symmetric_averaging": true,
+  "clip_nonnegative": true,
+  "to_univariate": false
+}

results/Timestral-5M/current_velocity/H/medium/metrics.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:66407ec6ee93897469c668978392f6083f339b3b009da5308e2c5025464a2481
+size 31640

results/Timestral-5M/current_velocity/H/medium/predictions.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:caf6392d7ac384c80c0cbba5eac9f39c5adb8e5b44dbf682527ac3916cdf62d3
+size 1097587

results/Timestral-5M/current_velocity/H/short/config.json

@@ -0,0 +1,40 @@
+{
+  "dataset_config": "current_velocity/H/short",
+  "num_series": 21,
+  "num_windows": 28,
+  "num_variates": 6,
+  "prediction_length": 24,
+  "num_quantiles": 9,
+  "quantile_levels": [
+    0.1,
+    0.2,
+    0.3,
+    0.4,
+    0.5,
+    0.6,
+    0.7,
+    0.8,
+    0.9
+  ],
+  "freq": "H",
+  "seasonality": 24,
+  "context_length": 5563,
+  "metric_names": [
+    "MSE",
+    "MAE",
+    "RMSE",
+    "MAPE",
+    "sMAPE",
+    "MASE",
+    "ND",
+    "CRPS"
+  ],
+  "prediction_scale_factor": 1.0,
+  "model": "Timestral-5M",
+  "model_id": "mistralai/Timestral-5M",
+  "max_context": 32768,
+  "per_shot_horizon_patches": 32,
+  "symmetric_averaging": true,
+  "clip_nonnegative": true,
+  "to_univariate": false
+}

results/Timestral-5M/current_velocity/H/short/metrics.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fdb5ac2965a1e7c4f5462c891c44239ac6b0a6d67fa3b4d24f058787a31045ff
+size 205838

results/Timestral-5M/current_velocity/H/short/predictions.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b74071c78f2634cdf7cc41b7fbf14e94dee12f96e52b88775458248f2512517b
+size 1147250

results/Timestral-5M/epf_electricity_price/H/long/config.json

@@ -0,0 +1,40 @@
+{
+  "dataset_config": "epf_electricity_price/H/long",
+  "num_series": 5,
+  "num_windows": 15,
+  "num_variates": 1,
+  "prediction_length": 168,
+  "num_quantiles": 9,
+  "quantile_levels": [
+    0.1,
+    0.2,
+    0.3,
+    0.4,
+    0.5,
+    0.6,
+    0.7,
+    0.8,
+    0.9
+  ],
+  "freq": "H",
+  "seasonality": 24,
+  "context_length": 52248,
+  "metric_names": [
+    "MSE",
+    "MAE",
+    "RMSE",
+    "MAPE",
+    "sMAPE",
+    "MASE",
+    "ND",
+    "CRPS"
+  ],
+  "prediction_scale_factor": 1.0,
+  "model": "Timestral-5M",
+  "model_id": "mistralai/Timestral-5M",
+  "max_context": 32768,
+  "per_shot_horizon_patches": 32,
+  "symmetric_averaging": true,
+  "clip_nonnegative": true,
+  "to_univariate": false
+}

results/Timestral-5M/epf_electricity_price/H/long/metrics.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b68ad292729ce8ee629cb6f5620f86e5c5bb7cce3dca71011de454bb0efb4a37
+size 6339

results/Timestral-5M/epf_electricity_price/H/long/predictions.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:edd4bf39e7f45479be153deb3e9b9ee87b3753d5cf9e7dab76a7a541065a6299
+size 175792

results/Timestral-5M/epf_electricity_price/H/medium/config.json

@@ -0,0 +1,40 @@
+{
+  "dataset_config": "epf_electricity_price/H/medium",
+  "num_series": 5,
+  "num_windows": 35,
+  "num_variates": 1,
+  "prediction_length": 72,
+  "num_quantiles": 9,
+  "quantile_levels": [
+    0.1,
+    0.2,
+    0.3,
+    0.4,
+    0.5,
+    0.6,
+    0.7,
+    0.8,
+    0.9
+  ],
+  "freq": "H",
+  "seasonality": 24,
+  "context_length": 52344,
+  "metric_names": [
+    "MSE",
+    "MAE",
+    "RMSE",
+    "MAPE",
+    "sMAPE",
+    "MASE",
+    "ND",
+    "CRPS"
+  ],
+  "prediction_scale_factor": 1.0,
+  "model": "Timestral-5M",
+  "model_id": "mistralai/Timestral-5M",
+  "max_context": 32768,
+  "per_shot_horizon_patches": 32,
+  "symmetric_averaging": true,
+  "clip_nonnegative": true,
+  "to_univariate": false
+}

results/Timestral-5M/epf_electricity_price/H/medium/metrics.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fd99033237d735d270c427197dbb1b0b2b7c5a983aefbe839dbf2a9d8cdb733a
+size 12179

results/Timestral-5M/epf_electricity_price/H/medium/predictions.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:702474bbbb62b616cd6bf8faee3664ecdc9924c11d0e8fa57b7b54e89a118c2a
+size 176444

results/Timestral-5M/epf_electricity_price/H/short/config.json

@@ -0,0 +1,40 @@
+{
+  "dataset_config": "epf_electricity_price/H/short",
+  "num_series": 5,
+  "num_windows": 105,
+  "num_variates": 1,
+  "prediction_length": 24,
+  "num_quantiles": 9,
+  "quantile_levels": [
+    0.1,
+    0.2,
+    0.3,
+    0.4,
+    0.5,
+    0.6,
+    0.7,
+    0.8,
+    0.9
+  ],
+  "freq": "H",
+  "seasonality": 24,
+  "context_length": 52392,
+  "metric_names": [
+    "MSE",
+    "MAE",
+    "RMSE",
+    "MAPE",
+    "sMAPE",
+    "MASE",
+    "ND",
+    "CRPS"
+  ],
+  "prediction_scale_factor": 1.0,
+  "model": "Timestral-5M",
+  "model_id": "mistralai/Timestral-5M",
+  "max_context": 32768,
+  "per_shot_horizon_patches": 32,
+  "symmetric_averaging": true,
+  "clip_nonnegative": true,
+  "to_univariate": false
+}

results/Timestral-5M/epf_electricity_price/H/short/metrics.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:410990dd7913e469c6011b3af295a6a833f874be69fafb721bbfdb7606acdcaf
+size 32228

results/Timestral-5M/epf_electricity_price/H/short/predictions.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e7400614bb5814bf4e4265253b91a905a8cd6516e63e98e665f9946e3aa3ce1
+size 177294