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QA-roberta-model3 – AI Model by MattNandavong | AlphaNeural AI
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QA-roberta-model3
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transformers
tensorboard
safetensors
roberta
question-answering
generated_from_trainer
deepset/roberta-base-squad2
finetune
cc-by-4.0
endpoints_compatible
us
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QA-roberta-model3
This model is a fine-tuned version of
deepset/roberta-base-squad2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 7.4193
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
lr_scheduler_warmup_steps: 100
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
2
9.0035
No log
2.0
4
8.8037
No log
3.0
6
8.4536
No log
4.0
8
7.9794
No log
5.0
10
7.4193
Framework versions
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
