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camembert-base-finetuned-Train_RAW20-dd – AI Model by ZhiyuanQiu | AlphaNeural AI
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ZhiyuanQiu
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camembert-base-finetuned-Train_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-Train_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: 0.2380
Precision: 0.8661
Recall: 0.8900
F1: 0.8779
Accuracy: 0.9209
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.23
1.0
14269
0.2282
0.8446
0.8714
0.8578
0.9088
0.1787
2.0
28538
0.2380
0.8661
0.8900
0.8779
0.9209
Framework versions
Transformers 4.21.2
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
