Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
phi-3-mini-4k-finetuned-terraform – AI Model by Sabyasachi | AlphaNeural AI
You can deploy this model and start earning money today!
Sabyasachi
/
phi-3-mini-4k-finetuned-terraform
like
0
peft
safetensors
generated_from_trainer
microsoft/Phi-3-mini-4k-instruct
adapter
mit
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
phi-3-mini-4k-finetuned-terraform
This model is a fine-tuned version of
microsoft/Phi-3-mini-4k-instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 6.2800
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
8.4689
0.9778
11
7.4284
7.6557
1.9556
22
6.5914
6.9515
2.9333
33
6.2800
Framework versions
PEFT 0.13.2
Transformers 4.46.2
Pytorch 2.1.0+cu118
Datasets 3.1.0
Tokenizers 0.20.3
