Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
gemma-7b-10-dim – AI Model by AndersGiovanni | AlphaNeural AI
You can deploy this model and start earning money today!
AndersGiovanni
/
gemma-7b-10-dim
like
0
peft
safetensors
text-classification
en
AndersGiovanni/10-dim
google/gemma-7b
adapter
mit
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
gemma-7b
This model is a fine-tuned version of
google/gemma-7b
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.4939
Accuracy: 0.0806
Precision: 0.4535
Recall: 0.3826
F1: 0.4150
Hamming Loss: 0.2312
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: 0.0001
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.05
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.5.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
