distilcamembert-cae-no-thinking

gustavecortal/distilcamembert-cae-no-thinking

distilcamembert-cae-no-thinking is a text classification model from gustavecortal. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: camembert
Access: Public
Created: Nov 24, 2022
Updated: Nov 24, 2022
SHA: 598dc2f9

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Model card

From the Hugging Face model README

distilcamembert-cae-no-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: 0.5464
Precision: 0.7959
Recall: 0.7848
F1: 0.7869

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
1.1607	1.0	40	0.9958	0.6444	0.4684	0.3248
1.0099	2.0	80	0.9761	0.6090	0.5316	0.4480
0.6294	3.0	120	0.6770	0.8067	0.7215	0.7542
0.3294	4.0	160	0.5464	0.7959	0.7848	0.7869
0.1986	5.0	200	0.5440	0.7882	0.7722	0.7785

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: camembert
License: mit
Created: Nov 24, 2022
Updated: Nov 24, 2022