smalldata-microsoft-deberta-base-mnli-eng-only-sentiment-single-finetuned-memes – AI Model by jayantapaul888 | AlphaNeural AI

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jayantapaul888/
smalldata-microsoft-deberta-base-mnli-eng-only-sentiment-single-finetuned-memes

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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smalldata-microsoft-deberta-base-mnli-eng-only-sentiment-single-finetuned-memes

This model is a fine-tuned version of jayantapaul888/twitter-data-microsoft-deberta-base-mnli-sentiment-finetuned-memes on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7400
Accuracy: 0.8816
Precision: 0.8946
Recall: 0.8937
F1: 0.8937

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
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
No log	1.0	378	0.2962	0.8764	0.8917	0.8881	0.8884
0.3387	2.0	756	0.2803	0.8831	0.8950	0.8942	0.8946
0.1693	3.0	1134	0.4289	0.8764	0.8912	0.8892	0.8886
0.0772	4.0	1512	0.5436	0.8690	0.8822	0.8823	0.8822
0.0772	5.0	1890	0.6566	0.8831	0.8960	0.8947	0.8949
0.024	6.0	2268	0.7400	0.8816	0.8946	0.8937	0.8937

Framework versions

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