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my_awesome_qa_model – AI Model by hark99 | AlphaNeural AI
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hark99
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my_awesome_qa_model
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transformers
tensorboard
safetensors
distilbert
question-answering
generated_from_trainer
distilbert/distilbert-base-cased
finetune
apache-2.0
endpoints_compatible
us
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my_awesome_qa_model
This model is a fine-tuned version of
distilbert/distilbert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
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: polynomial
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
400
0.0000
0.0
2.0
800
0.0000
0.0
3.0
1200
0.0000
Framework versions
Transformers 4.41.1
Pytorch 2.1.2
Datasets 2.19.1
Tokenizers 0.19.1
