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recommender-excercise – AI Model by caroagse | AlphaNeural AI
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caroagse
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recommender-excercise
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transformers
pytorch
bert
fill-mask
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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recommender-excercise
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
No log
0.67
1
nan
No log
1.33
2
nan
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
