patchtst

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: model_save
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# model_save
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Tokenizers 0.15.2

config.json

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+{
+  "activation_function": "gelu",
+  "architectures": [
+    "PatchTSTForClassification"
+  ],
+  "attention_dropout": 0.0,
+  "bias": true,
+  "channel_attention": false,
+  "channel_consistent_masking": false,
+  "context_length": 512,
+  "d_model": 128,
+  "distribution_output": "student_t",
+  "do_mask_input": null,
+  "dropout": 0.0,
+  "ff_dropout": 0.0,
+  "ffn_dim": 512,
+  "head_dropout": 0.0,
+  "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": 4,
+  "num_forecast_mask_patches": [
+    2
+  ],
+  "num_hidden_layers": 3,
+  "num_input_channels": 3,
+  "num_parallel_samples": 100,
+  "num_targets": 4,
+  "output_range": null,
+  "patch_length": 16,
+  "patch_stride": 16,
+  "path_dropout": 0.0,
+  "pooling_type": "mean",
+  "positional_dropout": 0.0,
+  "positional_encoding_type": "sincos",
+  "pre_norm": true,
+  "prediction_length": 24,
+  "random_mask_ratio": 0.5,
+  "scaling": "std",
+  "share_embedding": true,
+  "share_projection": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.2",
+  "unmasked_channel_indices": null,
+  "use_cls_token": false
+}

model.safetensors

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+oid sha256:e9e064010e4dce528ea8f9872d47e4e656678161bfb8f8badd18c7714cfe7389
+size 2424760

training_args.bin

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+size 4664