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FYP_sq2_mrqa_adqa_synqa – AI Model by kxx-kkk | AlphaNeural AI
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kxx-kkk
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FYP_sq2_mrqa_adqa_synqa
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transformers
tensorboard
safetensors
deberta-v2
question-answering
generated_from_trainer
syn_qa
kxx-kkk/FYP_sq2_mrqa_adqa
finetune
cc-by-4.0
endpoints_compatible
us
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FYP_sq2_mrqa_adqa_synqa
This model is a fine-tuned version of
kxx-kkk/FYP_sq2_mrqa_adqa
on the syn_qa dataset. It achieves the following results on the evaluation set:
Loss: 0.9362
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-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.82
0.25
2000
1.1116
1.612
0.51
4000
1.0270
1.505
0.76
6000
0.9874
1.4476
1.01
8000
0.9784
1.3898
1.27
10000
0.9476
1.3544
1.52
12000
0.9368
1.3278
1.78
14000
0.9362
Framework versions
Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
