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test-train – AI Model by tbochens | AlphaNeural AI | AlphaNeural AI
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tbochens
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test-train
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
glue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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Model card
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test-train
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: 0.7268
Accuracy: 0.8456
F1: 0.8927
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
0.3470
0.8627
0.9014
0.4987
2.0
918
0.5782
0.8382
0.8914
0.2796
3.0
1377
0.7268
0.8456
0.8927
Framework versions
Transformers 4.15.0
Pytorch 1.10.0+cu102
Datasets 1.17.0
Tokenizers 0.10.3
