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QA_240131 – AI Model by Gigazinie | AlphaNeural AI
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Gigazinie
/
QA_240131
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transformers
tensorboard
safetensors
bert
question-answering
generated_from_trainer
Gigazinie/QA_240131
finetune
apache-2.0
endpoints_compatible
us
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QA_240131
This model is a fine-tuned version of
Gigazinie/QA_240131
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 6.2383
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: 0.0001
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
50
6.2383
No log
2.0
100
6.2383
No log
3.0
150
6.2383
No log
4.0
200
6.2383
No log
5.0
250
6.2383
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
