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results2 – AI Model by Rudra03 | AlphaNeural AI
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Rudra03
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results2
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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results2
This model is a fine-tuned version of
google-bert/bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4683
Accuracy: 0.8482
F1: 0.6825
Precision: 0.7164
Recall: 0.6574
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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
No log
1.0
252
0.4639
0.8348
0.6145
0.6840
0.5792
0.3911
2.0
504
0.4304
0.8438
0.6366
0.7035
0.5972
0.3911
3.0
756
0.4683
0.8482
0.6825
0.7164
0.6574
Framework versions
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1
