bertweet-base_3epoch3.1 – AI Model by dianamihalache27 | AlphaNeural AI

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dianamihalache27/
bertweet-base_3epoch3.1

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text-classification

generated_from_trainer

vinai/bertweet-base

autotrain_compatible

endpoints_compatible

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bertweet-base_3epoch3.1

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

Loss: 1.8308
Accuracy: 0.7378
F1: 0.4313
Precision: 0.5702
Recall: 0.3467
Precision Sarcastic: 0.5702
Recall Sarcastic: 0.3467
F1 Sarcastic: 0.4313

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Precision Sarcastic	Recall Sarcastic	F1 Sarcastic
No log	1.0	87	1.5536	0.7493	0.3958	0.6404	0.2864	0.6404	0.2864	0.3958
No log	2.0	174	1.7665	0.7392	0.4784	0.5608	0.4171	0.5608	0.4171	0.4784
No log	3.0	261	1.8308	0.7378	0.4313	0.5702	0.3467	0.5702	0.3467	0.4313

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1