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wei12138/
nlp-text-classification

Name: nlp-text-classification
Availability: InStock

tensorboard

safetensors

distilbert

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

apache-2.0

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nlp-text-classification

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

Loss: 0.2283
Accuracy: 0.9323

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2214	1.0	1563	0.2100	0.9182
0.1455	2.0	3126	0.2283	0.9323

Framework versions

Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

wei12138/nlp-text-classification

nlp-text-classification

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

wei12138/
nlp-text-classification