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imrazaa/
distilbert-base-multilingual-cased-en

Name: distilbert-base-multilingual-cased-en
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-multilingual-cased

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distilbert-base-multilingual-cased-en

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

Loss: 0.3298
Accuracy: 0.8909
F1: 0.8908

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: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.7829	0.3524	500	0.4586	0.8596	0.8473
0.4282	0.7047	1000	0.3733	0.8759	0.8709
0.3631	1.0571	1500	0.3518	0.8826	0.8810
0.3082	1.4094	2000	0.3330	0.8854	0.8827
0.2862	1.7618	2500	0.3304	0.8890	0.8885
0.2545	2.1142	3000	0.3342	0.8901	0.8887
0.2307	2.4665	3500	0.3298	0.8909	0.8908
0.2246	2.8189	4000	0.3253	0.8907	0.8910

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

imrazaa/distilbert-base-multilingual-cased-en

distilbert-base-multilingual-cased-en

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

imrazaa/
distilbert-base-multilingual-cased-en