distilbert-base-uncased-finetuned – AI Model by rasheek16 | AlphaNeural AI

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rasheek16/
distilbert-base-uncased-finetuned

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

text-embeddings-inference

endpoints_compatible

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distilbert-base-uncased-finetuned

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: 0.1496
Accuracy: 0.9365
F1: 0.9365

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: 64
eval_batch_size: 64
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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.1806	1.0	250	0.1658	0.9325	0.9328
0.1144	2.0	500	0.1496	0.9365	0.9365

Framework versions

Transformers 5.5.0
Pytorch 2.12.0.dev20260403+cu128
Datasets 4.8.4
Tokenizers 0.22.2