Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
Innovative-deberta-v3-xsmall-GPT_4-o-768 – AI Model by avinasht | AlphaNeural AI
You can deploy this model and start earning money today!
avinasht
/
Innovative-deberta-v3-xsmall-GPT_4-o-768
like
0
safetensors
deberta-v2
generated_from_trainer
microsoft/deberta-v3-xsmall
finetune
mit
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Innovative-deberta-v3-xsmall-GPT_4-o-768
This model is a fine-tuned version of
microsoft/deberta-v3-xsmall
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0038
Accuracy: 0.9993
F1: 0.9993
Precision: 0.9993
Recall: 0.9993
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: 5e-05
train_batch_size: 10
eval_batch_size: 10
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 40
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.0003
0.9994
1279
0.0038
0.9993
0.9993
0.9993
0.9993
Framework versions
Transformers 4.41.2
Pytorch 2.5.0+cu124
Datasets 2.18.0
Tokenizers 0.19.1
