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bertQA – AI Model by krushnakant27 | AlphaNeural AI
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krushnakant27
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bertQA
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transformers
tensorboard
safetensors
opt
text-generation
generated_from_trainer
facebook/opt-125m
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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bertQA
This model is a fine-tuned version of
facebook/opt-125m
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0127
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.0128
1.0
6496
0.0127
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
