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Alirezamp/
news-category-classifier-distilbert-old

Name: news-category-classifier-distilbert-old
Availability: InStock

safetensors

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

apache-2.0

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news-category-classifier-distilbert

This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1519
Accuracy: 0.9513

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: 0.0002
train_batch_size: 32
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
0.4239	1.0	2289	0.9138	0.2604
0.3058	2.0	4578	0.9240	0.2384
0.3846	3.0	6867	0.9304	0.2280
0.138	4.0	9156	0.9333	0.2280
0.1904	5.0	11445	0.9468	0.1775
0.193	6.0	13734	0.9468	0.1775
0.0425	7.0	16023	0.9468	0.1775

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1

Alirezamp/news-category-classifier-distilbert-old

news-category-classifier-distilbert

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Alirezamp/
news-category-classifier-distilbert-old