results_77_intents – AI Model by surajpatil4899 | AlphaNeural AI

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surajpatil4899/
results_77_intents

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

text-embeddings-inference

endpoints_compatible

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results_77_intents

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: 0.8719
Accuracy: 0.8503
F1 Score: 0.8445
Precision: 0.8630
Recall: 0.8503
Auc Score: 0.9971

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: 16
eval_batch_size: 16
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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Score	Precision	Recall	Auc Score
3.4312	0.7634	500	2.3108	0.6746	0.6400	0.7117	0.6746	0.9904
1.8225	1.5267	1000	1.2502	0.8006	0.7820	0.8146	0.8006	0.9956
1.0961	2.2901	1500	0.8719	0.8503	0.8445	0.8630	0.8503	0.9971

Framework versions

Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1