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camembert-base-finetuned-RankLineCause – AI Model by louisdeco | AlphaNeural AI
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camembert-base-finetuned-RankLineCause
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transformers
pytorch
tensorboard
camembert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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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
