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dsarReaderRoberta – AI Model by hsmith-morganhill | AlphaNeural AI
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hsmith-morganhill
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dsarReaderRoberta
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transformers
safetensors
roberta
question-answering
generated_from_trainer
deepset/roberta-base-squad2
finetune
cc-by-4.0
endpoints_compatible
us
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dsarReaderRoberta
This model is a fine-tuned version of
deepset/roberta-base-squad2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6584
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: 5e-06
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
72
0.9308
No log
2.0
144
0.7161
No log
3.0
216
0.6584
Framework versions
Transformers 4.43.3
Pytorch 2.4.0+cpu
Datasets 2.20.0
Tokenizers 0.19.1
