PatchTSMixer_Stock_Data

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3020.0154
• Mse: 905.7340
• Mae: 24.4882
• Mape: 0.0316
• Msle: 0.0014

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: 0.0001
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Mse	Mae	Mape	Msle
21551.8505	1.0	51	4541.3184	464.5912	18.1478	0.0230	0.0008
17948.9632	2.0	102	3327.9248	938.6965	24.4246	0.0315	0.0015
15434.5392	3.0	153	3385.0327	682.4795	20.8618	0.0269	0.0011
13608.924	4.0	204	3158.7266	917.1122	23.9337	0.0309	0.0015
11935.185	5.0	255	3245.8347	712.8546	21.4648	0.0277	0.0011
11173.7426	6.0	306	2985.5256	1128.7438	27.5807	0.0355	0.0018
11160.5184	7.0	357	2942.4849	1075.2869	27.0185	0.0348	0.0017
10815.6434	8.0	408	2908.7529	1069.9177	27.0118	0.0348	0.0017
10287.6066	9.0	459	2995.2012	947.1976	24.9832	0.0322	0.0015
10123.2739	10.0	510	3020.0154	905.7340	24.4882	0.0316	0.0014

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2