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rahulacj/
bertweet-base-finetuned-sentiment-analysis

Name: bertweet-base-finetuned-sentiment-analysis
Availability: InStock

generated_from_trainer

autotrain_compatible

endpoints_compatible

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bertweet-base-finetuned-sentiment-analysis

This model is a fine-tuned version of cardiffnlp/bertweet-base-sentiment on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8458
Accuracy: 0.6426
F1: 0.6397

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	F1
0.8904	1.0	630	0.8509	0.6381	0.6340
0.7655	2.0	1260	0.8345	0.6579	0.6559
0.66	3.0	1890	0.9199	0.6548	0.6514
0.447	4.0	2520	1.0324	0.6429	0.6417
0.3585	5.0	3150	1.1234	0.6452	0.6424

Framework versions

Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.12.0

rahulacj/bertweet-base-finetuned-sentiment-analysis

bertweet-base-finetuned-sentiment-analysis

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

rahulacj/
bertweet-base-finetuned-sentiment-analysis