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deberta-tweetqa – AI Model by RyyDer | AlphaNeural AI
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RyyDer
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deberta-tweetqa
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transformers
tensorboard
safetensors
deberta-v2
question-answering
generated_from_trainer
deepset/deberta-v3-large-squad2
finetune
cc-by-4.0
endpoints_compatible
us
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deberta-tweetqa
This model is a fine-tuned version of
deepset/deberta-v3-large-squad2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.1955
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: 2
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.4798
1.0
1
2.5057
1.2709
2.0
2
2.1955
Framework versions
Transformers 4.52.2
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
