distilcamembert-cae-behavior – AI Model by gustavecortal | AlphaNeural AI

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gustavecortal/
distilcamembert-cae-behavior

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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distilcamembert-cae-behavior

This model is a fine-tuned version of cmarkea/distilcamembert-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9041
Precision: 0.6838
Recall: 0.6709
F1: 0.6656

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
1.1837	1.0	40	1.0310	0.1956	0.4304	0.2690
1.0456	2.0	80	1.0155	0.5603	0.5570	0.5047
0.8225	3.0	120	0.9677	0.7190	0.6582	0.6522
0.5927	4.0	160	0.9041	0.6838	0.6709	0.6656
0.4341	5.0	200	0.8963	0.6608	0.6456	0.6442

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2