Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
sentiment_classification – AI Model by sholaolagunju | AlphaNeural AI
You can deploy this model and start earning money today!
sholaolagunju
/
sentiment_classification
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
sentiment_classification
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9798
Balanced Accuracy: 0.5312
Accuracy: 0.5313
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: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Balanced Accuracy
Accuracy
0.931
1.0
134
0.9872
0.5153
0.5104
0.9447
2.0
268
0.9798
0.5312
0.5313
Framework versions
PEFT 0.10.0
Transformers 4.40.0
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.19.1
