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Danieljava/
minilm-language-classifier

Name: minilm-language-classifier
Rating: 2.5 (6 reviews)

generated_from_trainer

microsoft/MiniLM-L12-H384-uncased

finetune

mit

text-embeddings-inference

endpoints_compatible

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minilm-language-classifier

This model is a fine-tuned version of microsoft/MiniLM-L12-H384-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4820
F1: 0.8756

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: 64
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
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.7743	1.0	250	0.5844	0.8507
0.5297	2.0	500	0.4820	0.8756

Framework versions

Transformers 5.0.0
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

Danieljava/minilm-language-classifier

minilm-language-classifier

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Danieljava/
minilm-language-classifier