Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
llama32-rocov2-4bit – AI Model by gimarchetti | AlphaNeural AI
You can deploy this model and start earning money today!
gimarchetti
/
llama32-rocov2-4bit
like
0
peft
tensorboard
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-3.2-11B-Vision-Instruct
adapter
llama3.2
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
llama32-rocov2-4bit
This model is a fine-tuned version of
meta-llama/Llama-3.2-11B-Vision-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1132
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.1566
0.9991
817
1.1272
1.1108
1.9994
1635
1.1157
1.062
2.9972
2451
1.1132
Framework versions
PEFT 0.13.2
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.1
