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albert-base-v2-finetuned-squad-v2 – AI Model by rizukim | AlphaNeural AI
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rizukim
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albert-base-v2-finetuned-squad-v2
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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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albert-base-v2-finetuned-squad-v2
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: 0.8436
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.8137
1.0
8248
0.8436
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
