Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
smartly-tourjouman-tamazight-lora-multi – AI Model by Datasmartly | AlphaNeural AI
You can deploy this model and start earning money today!
Datasmartly
/
smartly-tourjouman-tamazight-lora-multi
like
0
peft
safetensors
trl
sft
generated_from_trainer
google/gemma-2-9b-it
adapter
gemma
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
smartly-tourjouman-tamazight-lora-multi
This model is a fine-tuned version of
google/gemma-2-9b-it
on the None dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 128
total_eval_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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.3253
0.5006
218
nan
0.8912
1.0011
436
nan
0.4228
1.5017
654
nan
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.2.0
Datasets 2.21.0
Tokenizers 0.19.1
