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roberta_checkpoint-finetuned-squad – AI Model by AngelaG | AlphaNeural AI
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AngelaG
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roberta_checkpoint-finetuned-squad
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transformers
pytorch
tensorboard
roberta
question-answering
generated_from_trainer
squad
mit
endpoints_compatible
us
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roberta_checkpoint-finetuned-squad
This model is a fine-tuned version of
WillHeld/roberta-base-coqa
on the squad dataset. It achieves the following results on the evaluation set:
Loss: 0.8934
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.8468
1.0
5536
0.8168
0.6239
2.0
11072
0.8237
0.4805
3.0
16608
0.8934
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
