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results – AI Model by Rajneel18 | AlphaNeural AI
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Rajneel18
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results
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
Rajneel18/results
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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results
This model is a fine-tuned version of
Rajneel18/results
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0810
Accuracy: 0.9917
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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0
0.9333
7
0.0894
0.9917
0.0
2.0
15
0.0791
0.9917
0.0
2.9333
22
0.0791
0.9917
0.0
3.7333
28
0.0810
0.9917
Framework versions
Transformers 4.46.3
Pytorch 1.13.1+cu117
Datasets 3.1.0
Tokenizers 0.20.3
