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my_qa_model – AI Model by iSathyam03 | AlphaNeural AI
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iSathyam03
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my_qa_model
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transformers
safetensors
albert
question-answering
generated_from_trainer
albert/albert-base-v2
finetune
apache-2.0
endpoints_compatible
us
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my_qa_model
This model is a fine-tuned version of
albert/albert-base-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9606
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
250
1.0387
1.1144
2.0
500
0.9152
1.1144
3.0
750
0.9606
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
