restaurant_calling_agent – AI Model by Shreyansh234 | AlphaNeural AI

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Shreyansh234/
restaurant_calling_agent

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text-generation

generated_from_trainer

distilbert/distilgpt2

text-generation-inference

endpoints_compatible

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restaurant_calling_agent

This model is a fine-tuned version of distilbert/distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1524

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6599	1.0	120	0.4404
0.3286	2.0	240	0.2236
0.3178	3.0	360	0.1899
0.2411	4.0	480	0.1712
0.2121	5.0	600	0.1633
0.2029	6.0	720	0.1607
0.1860	7.0	840	0.1569
0.1778	8.0	960	0.1533
0.1776	9.0	1080	0.1529
0.1730	10.0	1200	0.1524

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2