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triage – Dataset by arunboss | AlphaNeural AI
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triage
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: 1.0249
Accuracy: 0.571
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
1.3301
0.419
No log
2.0
250
1.0267
0.569
No log
3.0
375
1.0249
0.571
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
