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new_to_return_2_july_18 – AI Model by langyatest | AlphaNeural AI | AlphaNeural AI
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new_to_return_2_july_18
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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new_to_return_2_july_18
This model is a fine-tuned version of
google-bert/bert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9633
Accuracy: 0.5349
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
115
1.0369
0.5
No log
2.0
230
1.0170
0.5005
No log
3.0
345
0.9649
0.5131
No log
4.0
460
0.9417
0.5343
0.9641
5.0
575
0.9633
0.5349
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
