distilbert-base-multilingual-cased-finetuned-geordie – AI Model by nicolauduran45 | AlphaNeural AI

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nicolauduran45/
distilbert-base-multilingual-cased-finetuned-geordie

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token-classification

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distilbert/distilbert-base-multilingual-cased

autotrain_compatible

endpoints_compatible

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distilbert-base-multilingual-cased-finetuned-geordie

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

Loss: 0.0262
Precision: 0.9029
Recall: 0.9162
F1: 0.9095
Accuracy: 0.9933

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: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.022	1.0	10080	0.0205	0.8689	0.9270	0.8970	0.9927
0.0156	2.0	20160	0.0203	0.9034	0.9072	0.9053	0.9930
0.0106	3.0	30240	0.0223	0.9010	0.9157	0.9083	0.9932
0.0082	4.0	40320	0.0262	0.9029	0.9162	0.9095	0.9933

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1