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roberat – AI Model by augsaksham | AlphaNeural AI
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augsaksham
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roberat
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transformers
pytorch
tensorboard
roberta
question-answering
generated_from_trainer
cc-by-4.0
endpoints_compatible
us
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Model card
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roberat
This model is a fine-tuned version of
deepset/tinyroberta-squad2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0010
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: 0.0002
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
34
0.0446
No log
2.0
68
0.0010
Framework versions
Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1
