metadata

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

camembert-base-finetuned-RankLineCause

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

Loss: 0.3138
Accuracy: 0.8152
F1: 0.8297
Recall: 0.8152

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
0.3471	1.0	10019	0.3191	0.8156	0.8137	0.8156
0.317	2.0	20038	0.3138	0.8152	0.8297	0.8152

Framework versions

Transformers 4.19.4
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1