Custom-Arima – AI Model by AnishArjun | AlphaNeural AI

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AnishArjun/
Custom-Arima

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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Custom-Arima

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4261

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	125	0.4683
No log	2.0	250	0.4246
No log	3.0	375	0.4261

Framework versions

Transformers 4.48.0
Pytorch 2.5.1+cpu
Datasets 3.2.0
Tokenizers 0.21.0