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relatives_labels – AI Model by djamina | AlphaNeural AI
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djamina
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relatives_labels
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transformers
tensorboard
safetensors
camembert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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relatives_labels
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6840
Accuracy: 0.5758
F1: 0.7042
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
49
0.8393
0.4141
0.0
No log
2.0
98
0.7570
0.5859
0.7389
No log
3.0
147
0.6867
0.5859
0.7389
No log
4.0
196
0.6835
0.5859
0.7389
No log
5.0
245
0.6840
0.5758
0.7042
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
