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albert – AI Model by romit1 | AlphaNeural AI
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romit1
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albert
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transformers
safetensors
albert
multiple-choice
generated_from_trainer
albert/albert-base-v2
finetune
apache-2.0
endpoints_compatible
us
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Model card
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albert
This model is a fine-tuned version of
albert-base-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0844
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
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
26
0.9914
No log
2.0
52
1.1247
No log
3.0
78
1.0844
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
