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ft-bert-base-cased-run-v-0-3 – AI Model by aisuko | AlphaNeural AI
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aisuko
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ft-bert-base-cased-run-v-0-3
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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ft-bert-base-cased-run-v-0-3
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: 1.1554
Accuracy: 0.523
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 100
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
63
1.2604
0.471
No log
1.59
100
1.1554
0.523
Framework versions
Transformers 4.35.2
Pytorch 2.0.0
Datasets 2.15.0
Tokenizers 0.14.1
