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bert-base-uncased-Auto_Train – AI Model by soBeauty | AlphaNeural AI
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soBeauty
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bert-base-uncased-Auto_Train
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transformers
pytorch
tensorboard
xlm-roberta
text-generation
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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bert-base-uncased-Auto_Train
This model is a fine-tuned version of
xlm-roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 9.9375
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
18
10.3604
No log
2.0
36
10.0178
No log
3.0
54
9.9375
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
