e5_General_2026 – AI Model by Ludo33 | AlphaNeural AI

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Ludo33/
e5_General_2026

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text-classification

generated_from_trainer

intfloat/multilingual-e5-base

text-embeddings-inference

endpoints_compatible

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e5_General_2026

This model is a fine-tuned version of intfloat/multilingual-e5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2143
F1 Weighted: 0.9333

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: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Weighted
0.8639	1.0	777	0.2139	0.8930
0.3767	2.0	1554	0.1821	0.9103
0.2750	3.0	2331	0.1529	0.9235
0.2158	4.0	3108	0.1605	0.9231
0.1740	5.0	3885	0.1749	0.9285
0.1483	6.0	4662	0.1862	0.9265
0.1301	7.0	5439	0.1979	0.9299
0.1052	8.0	6216	0.2072	0.9315
0.0963	9.0	6993	0.2192	0.9301
0.0825	10.0	7770	0.2143	0.9333

Framework versions

Transformers 5.13.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2