metadata

license: mit
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
  - recall
model-index:
  - name: camembert-base-finetuned-LineCause
    results: []

camembert-base-finetuned-LineCause

This model is a fine-tuned version of camembert-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0001
Accuracy: 1.0
F1: 1.0
Recall: 1.0

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: 50
eval_batch_size: 50
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Recall
0.0428	1.0	4409	0.0002	1.0	1.0	1.0
0.0009	2.0	8818	0.0001	1.0	1.0	1.0

Framework versions

Transformers 4.19.3
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1