minilm-uncased-squad2-finetuned-squad – AI Model by abischoff | AlphaNeural AI

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minilm-uncased-squad2-finetuned-squad

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minilm-uncased-squad2-finetuned-squad

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8041

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: 12
eval_batch_size: 12
seed: 42
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: 4

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	63	0.9004
No log	2.0	126	0.7954
No log	3.0	189	0.7946
No log	4.0	252	0.8041

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0