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

You can deploy this model and start earning money today!

gustavecortal/
distilcamembert-cae-thinking

like

0

text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

distilcamembert-cae-thinking

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: 0.8373
Precision: 0.7054
Recall: 0.7089
F1: 0.7057

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
1.1608	1.0	40	1.0292	0.1963	0.4430	0.2720
0.894	2.0	80	0.9292	0.6253	0.6203	0.5821
0.5266	3.0	120	0.8919	0.6564	0.6709	0.6485
0.2895	4.0	160	0.8319	0.7049	0.6835	0.6886
0.1669	5.0	200	0.8373	0.7054	0.7089	0.7057

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2