bertweet-base_3epoch7 – AI Model by dianamihalache27 | AlphaNeural AI

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dianamihalache27/
bertweet-base_3epoch7

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text-classification

generated_from_trainer

vinai/bertweet-base

autotrain_compatible

endpoints_compatible

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bertweet-base_3epoch7

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: 1.3665
Accuracy: 0.7493
F1: 0.4562
Precision: 0.6033
Recall: 0.3668
Precision Sarcastic: 0.6033
Recall Sarcastic: 0.3668
F1 Sarcastic: 0.4562

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: 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: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Precision Sarcastic	Recall Sarcastic	F1 Sarcastic
No log	1.0	174	0.9738	0.7378	0.2541	0.6889	0.1558	0.6889	0.1558	0.2541
No log	2.0	348	1.0669	0.7565	0.4459	0.6415	0.3417	0.6415	0.3417	0.4459
0.1251	3.0	522	1.2051	0.7493	0.4082	0.6316	0.3015	0.6316	0.3015	0.4082
0.1251	4.0	696	1.2494	0.7507	0.4401	0.6182	0.3417	0.6182	0.3417	0.4401
0.1251	5.0	870	1.3273	0.7507	0.4677	0.6032	0.3819	0.6032	0.3819	0.4677
0.0458	6.0	1044	1.3478	0.7493	0.4759	0.5940	0.3970	0.5940	0.3970	0.4759
0.0458	7.0	1218	1.3665	0.7493	0.4562	0.6033	0.3668	0.6033	0.3668	0.4562

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1