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SlaviSolakchiev/
news-topic-distilbert-multilingual-4class

Name: news-topic-distilbert-multilingual-4class
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-multilingual-cased

finetune

apache-2.0

text-embeddings-inference

endpoints_compatible

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news-topic-distilbert-multilingual-4class

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

Loss: 1.1375
Accuracy: 0.9167
Precision: 0.9226
Recall: 0.9167
F1: 0.9164

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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.3718	1.0	7	1.3442	0.3333	0.5682	0.3333	0.25
1.2955	2.0	14	1.2759	0.75	0.7827	0.75	0.7423
1.1963	3.0	21	1.1701	0.8333	0.8571	0.8333	0.8205
1.0496	4.0	28	1.0466	0.7917	0.7887	0.7917	0.7814
0.9263	5.0	35	0.9435	0.7917	0.7887	0.7917	0.7814
0.8226	6.0	42	0.8655	0.7917	0.7887	0.7917	0.7814
0.7426	7.0	49	0.8214	0.7917	0.7887	0.7917	0.7814
0.6990	8.0	56	0.8079	0.7917	0.7887	0.7917	0.7814

Framework versions

Transformers 5.12.0
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

SlaviSolakchiev/news-topic-distilbert-multilingual-4class

news-topic-distilbert-multilingual-4class

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

SlaviSolakchiev/
news-topic-distilbert-multilingual-4class