bertweet – AI Model by Esteban-Ospina | AlphaNeural AI

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Esteban-Ospina/
bertweet

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text-classification

generated_from_trainer

vinai/bertweet-base

endpoints_compatible

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bertweet

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: 0.5312
F1 Macro: 0.7885
Accuracy: 0.8342

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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Macro	Accuracy
0.8654	1.0	102	0.7416	0.6915	0.7727
0.5960	2.0	204	0.5872	0.7534	0.8102
0.4344	3.0	306	0.5206	0.7702	0.8209
0.3408	4.0	408	0.5314	0.7691	0.8209
0.2563	5.0	510	0.5312	0.7885	0.8342

Framework versions

Transformers 5.3.0
Pytorch 2.8.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2