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test-trainer2 – AI Model by rain1898 | AlphaNeural AI
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rain1898
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test-trainer2
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transformers
pytorch
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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test-trainer2
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: 0.5858
Accuracy: 0.8775
F1: 0.9138
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
F1
No log
1.0
459
0.3636
0.8407
0.8837
0.5278
2.0
918
0.3803
0.8603
0.9002
0.3064
3.0
1377
0.5858
0.8775
0.9138
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cpu
Datasets 2.14.5
Tokenizers 0.14.1
