Training in progress, step 180

config.json

@@ -0,0 +1,51 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "PatchTSTForPrediction"
+  ],
+  "attention_dropout": 0.1,
+  "bias": true,
+  "channel_attention": false,
+  "channel_consistent_masking": false,
+  "context_length": 512,
+  "d_model": 128,
+  "distribution_output": "normal",
+  "do_mask_input": null,
+  "dropout": 0.1,
+  "ff_dropout": 0.0,
+  "ffn_dim": 256,
+  "head_dropout": 0.1,
+  "init_std": 0.02,
+  "loss": "mse",
+  "mask_type": "random",
+  "mask_value": 0,
+  "model_type": "patchtst",
+  "norm_eps": 1e-05,
+  "norm_type": "batchnorm",
+  "num_attention_heads": 16,
+  "num_forecast_mask_patches": [
+    2
+  ],
+  "num_hidden_layers": 3,
+  "num_input_channels": 1,
+  "num_parallel_samples": 100,
+  "num_targets": 1,
+  "output_range": null,
+  "patch_length": 16,
+  "patch_stride": 16,
+  "path_dropout": 0.0,
+  "pooling_type": null,
+  "positional_dropout": 0.0,
+  "positional_encoding_type": "sincos",
+  "pre_norm": true,
+  "prediction_length": 1,
+  "prenorm": true,
+  "random_mask_ratio": 0.5,
+  "scaling": "std",
+  "share_embedding": true,
+  "share_projection": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
+  "unmasked_channel_indices": null,
+  "use_cls_token": false
+}

model.safetensors

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training_args.bin

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