metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - pawsx
metrics:
  - accuracy
  - f1
model-index:
  - name: camembert-base-finetuned-paraphrase
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: pawsx
          type: pawsx
          args: fr
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9085
          - name: F1
            type: f1
            value: 0.9088724090678741

camembert-base-finetuned-paraphrase

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

Loss: 0.2708
Accuracy: 0.9085
F1: 0.9089

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.3918	1.0	772	0.3211	0.869	0.8696
0.2103	2.0	1544	0.2448	0.9075	0.9077
0.1622	3.0	2316	0.2577	0.9055	0.9059
0.1344	4.0	3088	0.2708	0.9085	0.9089

Framework versions

Transformers 4.19.3
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1