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soBeauty/
20231008-5-distilbert-base-multilingual-cased-new

Name: 20231008-5-distilbert-base-multilingual-cased-new
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-multilingual-cased

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20231008-5-distilbert-base-multilingual-cased-new

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:

Accuracy: 0.5614
Loss: 1.9964

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: 20

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
2.9949	1.82	200	0.3868	2.5810
2.5887	3.64	400	0.4463	2.5529
2.3369	5.45	600	0.4665	2.4076
2.2815	7.27	800	0.5133	2.2435
2.1494	9.09	1000	0.5	2.1755
2.0746	10.91	1200	0.5523	1.9893
1.9617	12.73	1400	0.5648	1.8462
1.9549	14.55	1600	0.5392	1.8725
1.9192	16.36	1800	0.5605	2.0018
1.8967	18.18	2000	0.6077	1.7557
1.899	20.0	2200	0.5614	1.9964

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

soBeauty/20231008-5-distilbert-base-multilingual-cased-new

20231008-5-distilbert-base-multilingual-cased-new

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

soBeauty/
20231008-5-distilbert-base-multilingual-cased-new