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model_bert_check_new_1 – AI Model by KalaiselvanD | AlphaNeural AI
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KalaiselvanD
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model_bert_check_new_1
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transformers
tensorboard
safetensors
albert
text-classification
generated_from_trainer
albert/albert-base-v2
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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model_bert_check_new_1
This model is a fine-tuned version of
albert/albert-base-v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3250
Accuracy: 0.93
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
25
0.5086
0.87
No log
2.0
50
0.3250
0.93
Framework versions
Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
