Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
deberta-tweetqa-5ep – AI Model by RyyDer | AlphaNeural AI
You can deploy this model and start earning money today!
RyyDer
/
deberta-tweetqa-5ep
like
0
transformers
tensorboard
safetensors
deberta-v2
question-answering
generated_from_trainer
microsoft/deberta-v3-large
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
deberta-tweetqa-5ep
This model is a fine-tuned version of
microsoft/deberta-v3-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.7168
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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.7783
1.0
1
3.8975
2.8494
2.0
2
3.8975
2.8872
3.0
3
3.8877
2.854
4.0
4
3.8198
2.6379
5.0
5
3.7168
Framework versions
Transformers 4.52.2
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
