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bert-base-uncased-sst2-epochs-2-lr-0.0001 – AI Model by prateeky2806 | AlphaNeural AI
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bert-base-uncased-sst2-epochs-2-lr-0.0001
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transformers
safetensors
bert
text-classification
generated_from_trainer
glue
google-bert/bert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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bert-base-uncased-sst2-epochs-2-lr-0.0001
This model is a fine-tuned version of
bert-base-uncased
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.0665
Accuracy: 0.99
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: 32
eval_batch_size: 32
seed: 28
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1932
1.0
2102
0.0753
0.99
0.1085
2.0
4204
0.0665
0.99
Framework versions
Transformers 4.32.0.dev0
Pytorch 2.0.1
Datasets 2.14.4
Tokenizers 0.13.3
