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albert-base-v2 – AI Model by OliverHeine | AlphaNeural AI
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OliverHeine
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albert-base-v2
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tensorboard
safetensors
albert
generated_from_trainer
albert/albert-base-v2
finetune
apache-2.0
us
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albert-base-v2
This model is a fine-tuned version of
albert-base-v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0070
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: 32
eval_batch_size: 32
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
0.0184
1.0
13837
0.0116
0.0109
2.0
27674
0.0072
0.0143
3.0
41511
0.0070
Framework versions
Transformers 4.38.2
Pytorch 2.1.0
Datasets 2.18.0
Tokenizers 0.15.2
