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jayantapaul888/
twitter-data-microsoft-xtremedistil-l6-h256-uncased-sentiment-finetuned-memes

Name: twitter-data-microsoft-xtremedistil-l6-h256-uncased-sentiment-finetuned-memes
Availability: InStock

generated_from_trainer

mit

autotrain_compatible

endpoints_compatible

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twitter-data-microsoft-xtremedistil-l6-h256-uncased-sentiment-finetuned-memes

This model is a fine-tuned version of microsoft/xtremedistil-l6-h256-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3635
Accuracy: 0.8756
Precision: 0.8761
Recall: 0.8756
F1: 0.8755

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
0.6142	1.0	1762	0.5396	0.8022	0.8010	0.8022	0.8014
0.4911	2.0	3524	0.4588	0.8322	0.8332	0.8322	0.8325
0.4511	3.0	5286	0.4072	0.8562	0.8564	0.8562	0.8559
0.412	4.0	7048	0.3825	0.8673	0.8680	0.8673	0.8672
0.3886	5.0	8810	0.3677	0.8745	0.8753	0.8745	0.8745
0.3914	6.0	10572	0.3635	0.8756	0.8761	0.8756	0.8755

Framework versions

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

jayantapaul888/twitter-data-microsoft-xtremedistil-l6-h256-uncased-sentiment-finetuned-memes

twitter-data-microsoft-xtremedistil-l6-h256-uncased-sentiment-finetuned-memes

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jayantapaul888/
twitter-data-microsoft-xtremedistil-l6-h256-uncased-sentiment-finetuned-memes