experiment_labels_4epochs – AI Model by ADS509 | AlphaNeural AI

You can deploy this model and start earning money today!

ADS509/
experiment_labels_4epochs

like

0

text-classification

generated_from_trainer

google-bert/bert-base-uncased

text-embeddings-inference

endpoints_compatible

Views

No views yet

experiment_labels_4epochs

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

Loss: 0.6831
Accuracy: 0.7612
F1 Macro: 0.7386
F1 Weighted: 0.7600

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: 64
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: 200
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	F1 Weighted
0.6715	1.0	628	0.6350	0.7549	0.7283	0.7553
0.5086	2.0	1256	0.6271	0.7584	0.7372	0.7565
0.3358	3.0	1884	0.6827	0.7610	0.7377	0.7598
0.2106	4.0	2512	0.7556	0.7575	0.7339	0.7575

Framework versions

Transformers 5.0.0
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2