twitter-data-microsoft-deberta-base-mnli-sentiment-finetuned-memes – AI Model by jayantapaul888 | AlphaNeural AI

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jayantapaul888/
twitter-data-microsoft-deberta-base-mnli-sentiment-finetuned-memes

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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twitter-data-microsoft-deberta-base-mnli-sentiment-finetuned-memes

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

Loss: 0.2438
Accuracy: 0.9296
Precision: 0.9301
Recall: 0.9296
F1: 0.9296

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: 1e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.3622	1.0	1762	0.2933	0.9060	0.9065	0.9060	0.9057
0.2601	2.0	3524	0.2593	0.9194	0.9196	0.9194	0.9192
0.2282	3.0	5286	0.2365	0.9279	0.9287	0.9279	0.9280
0.1977	4.0	7048	0.2325	0.9293	0.9298	0.9293	0.9293
0.181	5.0	8810	0.2421	0.9291	0.9301	0.9291	0.9292
0.1629	6.0	10572	0.2438	0.9296	0.9301	0.9296	0.9296

Framework versions

Transformers 4.24.0.dev0
Pytorch 1.11.0+cu102
Datasets 2.6.1
Tokenizers 0.13.1