Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
FineTuned-Phi2_nada – AI Model by Nada81 | AlphaNeural AI
You can deploy this model and start earning money today!
Nada81
/
FineTuned-Phi2_nada
like
0
peft
tensorboard
safetensors
trl
sft
generated_from_trainer
microsoft/phi-2
adapter
mit
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
FineTuned-Phi2_nada
This model is a fine-tuned version of
microsoft/phi-2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1227
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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.3854
0.9956
112
1.1732
1.1826
2.0
225
1.1333
1.1583
2.9956
337
1.1211
1.127
3.9822
448
1.1227
Framework versions
PEFT 0.7.1
Transformers 4.40.0
Pytorch 2.1.2+cu121
Datasets 2.18.0
Tokenizers 0.19.1
