camembert-base-finetuned-mixte-symbole-dd – AI Model by ZhiyuanQiu | AlphaNeural AI

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ZhiyuanQiu/
camembert-base-finetuned-mixte-symbole-dd

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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camembert-base-finetuned-mixte-symbole-dd

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

Loss: 0.3576
Precision: 0.8788
Recall: 0.8986
F1: 0.8886
Accuracy: 0.9230

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1977	1.0	4322	0.2256	0.8388	0.8980	0.8674	0.9240
0.1498	2.0	8644	0.2765	0.8666	0.8916	0.8789	0.9235
0.1085	3.0	12966	0.2945	0.8666	0.9028	0.8844	0.9211
0.0775	4.0	17288	0.3181	0.8735	0.9015	0.8873	0.9226
0.0605	5.0	21610	0.3576	0.8788	0.8986	0.8886	0.9230

Framework versions

Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1