headlines_news_sentiment_distil – AI Model by ishaq101 | AlphaNeural AI

You can deploy this model and start earning money today!

ishaq101/
headlines_news_sentiment_distil

like

0

text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

Views

No views yet

headlines_news_sentiment_distil

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

Loss: 0.6265
Model Preparation Time: 0.0026
Accuracy: 0.8423
F1: 0.8423

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Accuracy	F1
0.4834	1.0	504	0.4035	0.0026	0.8156	0.8156
0.3402	2.0	1008	0.3987	0.0026	0.8343	0.8343
0.2343	3.0	1512	0.4514	0.0026	0.8392	0.8391
0.1604	4.0	2016	0.5443	0.0026	0.8396	0.8396
0.1151	5.0	2520	0.6265	0.0026	0.8423	0.8423

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1