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camembert-base-finetuned-RAW20-dd – AI Model by ZhiyuanQiu | AlphaNeural AI
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ZhiyuanQiu
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camembert-base-finetuned-RAW20-dd
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transformers
pytorch
tensorboard
camembert
token-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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camembert-base-finetuned-RAW20-dd
This model is a fine-tuned version of
camembert-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4309
Precision: 0.8706
Recall: 0.8429
F1: 0.8565
Accuracy: 0.9926
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.136
1.0
9942
0.4309
0.8706
0.8429
0.8565
0.9926
Framework versions
Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
