Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
results – AI Model by davidadamczyk | AlphaNeural AI
You can deploy this model and start earning money today!
davidadamczyk
/
results
like
0
peft
safetensors
mpnet
trl
sft
generated_from_trainer
meta-llama/Llama-3.1-8B
adapter
llama3.1
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
results
This model is a fine-tuned version of
meta-llama/Meta-Llama-3.1-8B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.7088
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
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: 0.03
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.9983
0.608
38
2.7099
2.5164
1.216
76
2.6998
2.7969
1.8240
114
2.7057
2.5086
2.432
152
2.7088
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
