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cvapict/
distilbert-base-multilingual-cased-hyper-matt

Name: distilbert-base-multilingual-cased-hyper-matt
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-multilingual-cased

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distilbert-base-multilingual-cased-hyper-matt

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: 0.4924
Accuracy: 0.88
Recall: 0.7967
Precision: 0.8099
F1: 0.8033

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: 1.0247874543132884e-05
train_batch_size: 4
eval_batch_size: 16
seed: 13
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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Recall	Precision	F1
0.1205	1.0	400	0.3566	0.875	0.7967	0.7967	0.7967
0.1525	2.0	800	0.5043	0.855	0.8618	0.7211	0.7852
0.341	3.0	1200	0.4811	0.865	0.8211	0.7594	0.7891
0.1254	4.0	1600	0.4924	0.88	0.7967	0.8099	0.8033

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.20.3

cvapict/distilbert-base-multilingual-cased-hyper-matt

distilbert-base-multilingual-cased-hyper-matt

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cvapict/
distilbert-base-multilingual-cased-hyper-matt