augment-tweet-bert-large-e4 – AI Model by YanJiangJerry | AlphaNeural AI

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augment-tweet-bert-large-e4

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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augment-tweet-bert-large-e4

This model is a fine-tuned version of vinai/bertweet-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4688
Accuracy: 0.9471
F1: 0.8656
Precision: 0.8224
Recall: 0.9135

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.1265	1.0	4089	0.4889	0.9310	0.8304	0.7661	0.9066
0.0733	2.0	8178	0.4880	0.9439	0.8533	0.8322	0.8754
0.024	3.0	12267	0.5060	0.9478	0.8657	0.8312	0.9031
0.0239	4.0	16356	0.4688	0.9471	0.8656	0.8224	0.9135

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3