news_sentiment_sentence_v1

Harvinder6766/news_sentiment_sentence_v1

news_sentiment_sentence_v1 is a text classification model from Harvinder6766. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Nov 7, 2023
Updated: Nov 7, 2023
SHA: 50031ce0

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Base models

Model card

From the Hugging Face model README

news_sentiment_sentence_v1

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: 0.5339
Accuracy: 0.7785

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	Accuracy
No log	1.0	89	0.5339	0.7785
No log	2.0	178	0.5512	0.7785
No log	3.0	267	0.5358	0.7911
No log	4.0	356	0.5619	0.7975
No log	5.0	445	0.6056	0.7785

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Nov 7, 2023
Updated: Nov 7, 2023