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RobertaLr1e-6Wd0.1 – AI Model by hsmith-morganhill | AlphaNeural AI
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RobertaLr1e-6Wd0.1
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tensorboard
safetensors
roberta
generated_from_trainer
deepset/roberta-base-squad2
finetune
cc-by-4.0
us
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RobertaLr1e-6Wd0.1
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: 0.9697
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: 1e-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: 6
Training results
Training Loss
Epoch
Step
Validation Loss
0.8924
1.0
72
1.7157
0.9714
2.0
144
1.3004
1.0737
3.0
216
1.1170
1.088
4.0
288
1.0285
1.4466
5.0
360
0.9829
1.1483
6.0
432
0.9697
Framework versions
Transformers 4.41.2
Pytorch 2.4.0
Datasets 2.20.0
Tokenizers 0.19.1
