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chaii-qa – AI Model by mrizalf7 | AlphaNeural AI
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mrizalf7
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chaii-qa
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transformers
pytorch
tensorboard
xlm-roberta
question-answering
generated_from_trainer
cc-by-4.0
endpoints_compatible
us
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chaii-qa
This model is a fine-tuned version of
deepset/xlm-roberta-large-squad2
on the None dataset.
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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
435
0.2609
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2
