Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
Llama-3-8B-ARC-Challenge-20-31-LoRA-train-A – AI Model by mogmyij | AlphaNeural AI
You can deploy this model and start earning money today!
mogmyij
/
Llama-3-8B-ARC-Challenge-20-31-LoRA-train-A
like
0
peft
safetensors
generated_from_trainer
meta-llama/Meta-Llama-3-8B
adapter
llama3
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Llama-3-8B-ARC-Challenge-20-31-LoRA-train-A
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.4242
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
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: 0.05
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.8511
1.0
140
1.6559
1.4385
2.0
280
1.4503
1.4287
3.0
420
1.4242
Framework versions
PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.1
Datasets 2.19.1
Tokenizers 0.19.1
