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test_trainer – AI Model by Prezily | AlphaNeural AI
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Prezily
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test_trainer
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
yelp_review_full
google-bert/bert-base-cased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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Model card
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test_trainer
This model is a fine-tuned version of
bert-base-cased
on the yelp_review_full dataset. It achieves the following results on the evaluation set:
Loss: 1.0260
Accuracy: 0.6
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
Accuracy
No log
1.0
125
1.0747
0.534
No log
2.0
250
1.0480
0.57
No log
3.0
375
1.0260
0.6
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
