metadata

library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-multilingual-cased
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: distilbert-base-multilingual-cased-finetuned-language-identification
    results: []

distilbert-base-multilingual-cased-finetuned-language-identification

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

Loss: 0.0451
Accuracy: 0.9935
F1: 0.9936

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 adamw_torch 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	Accuracy	F1
0.1754	1.0	1094	0.0433	0.9936	0.9936
0.0075	2.0	2188	0.0451	0.9935	0.9936

Framework versions

Transformers 4.46.1
Pytorch 2.5.1+cu124
Datasets 3.0.2
Tokenizers 0.20.1