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flaubert_base_fine_tunned_categories_weight – AI Model by dev-senolys | AlphaNeural AI
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dev-senolys
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flaubert_base_fine_tunned_categories_weight
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transformers
pytorch
tensorboard
flaubert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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flaubert_base_fine_tunned_categories_weight
This model is a fine-tuned version of
flaubert/flaubert_base_cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.8164
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: 5e-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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
127
2.4070
No log
2.0
254
1.7761
No log
3.0
381
1.8164
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3
