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test_model2 – AI Model by nadellaroshni | AlphaNeural AI
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nadellaroshni
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test_model2
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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test_model2
This model is a fine-tuned version of
bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3250
Accuracy: 0.863
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: 16
eval_batch_size: 16
seed: 42
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
Accuracy
0.5093
1.0
625
0.3441
0.852
0.3595
2.0
1250
0.3250
0.863
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cpu
Datasets 2.18.0
Tokenizers 0.15.0
