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

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gustavecortal/
distilcamembert-cae-territory

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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distilcamembert-cae-territory

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: 0.7346
Precision: 0.7139
Recall: 0.6835
F1: 0.6887

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
1.1749	1.0	40	1.0498	0.1963	0.4430	0.2720
0.9833	2.0	80	0.8853	0.7288	0.6709	0.6625
0.6263	3.0	120	0.7503	0.7237	0.6709	0.6689
0.3563	4.0	160	0.7346	0.7139	0.6835	0.6887
0.2253	5.0	200	0.7303	0.7139	0.6835	0.6887

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2