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camembert-base-finetuned-paraphrase – AI Model by Clody0071 | AlphaNeural AI
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Clody0071
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camembert-base-finetuned-paraphrase
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transformers
pytorch
tensorboard
camembert
text-classification
generated_from_trainer
pawsx
mit
model-index
autotrain_compatible
endpoints_compatible
us
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camembert-base-finetuned-paraphrase
This model is a fine-tuned version of
camembert-base
on the pawsx dataset. It achieves the following results on the evaluation set:
Loss: 0.2708
Accuracy: 0.9085
F1: 0.9089
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.3918
1.0
772
0.3211
0.869
0.8696
0.2103
2.0
1544
0.2448
0.9075
0.9077
0.1622
3.0
2316
0.2577
0.9055
0.9059
0.1344
4.0
3088
0.2708
0.9085
0.9089
Framework versions
Transformers 4.19.3
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1
