fine_tuned_model_v2 – AI Model by msmokov | AlphaNeural AI

You can deploy this model and start earning money today!

msmokov/
fine_tuned_model_v2

like

0

text-classification

generated_from_trainer

google-bert/bert-base-multilingual-cased

text-embeddings-inference

endpoints_compatible

Views

No views yet

fine_tuned_model_v2

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

Loss: 0.3136
Accuracy: 0.88
F1: 0.8808
Precision: 0.8972
Recall: 0.88

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: 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
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.6375	1.0	28	0.4198	0.86	0.8606	0.8849	0.86
0.3582	2.0	56	0.3136	0.88	0.8808	0.8972	0.88
0.1972	3.0	84	0.2985	0.88	0.8808	0.8972	0.88

Framework versions

Transformers 4.55.4
Pytorch 2.8.0+cpu
Datasets 4.2.0
Tokenizers 0.21.4