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test-finetuned – AI Model by andyqin18 | AlphaNeural AI
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andyqin18
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test-finetuned
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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test-finetuned
This model is a fine-tuned version of
bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0527
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: 16
eval_batch_size: 64
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
0.0881
1.0
500
0.0550
0.0452
2.0
1000
0.0503
0.0313
3.0
1500
0.0527
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Tokenizers 0.13.3
