Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
experiments_22c_1t6 – AI Model by trungtienluong | AlphaNeural AI
You can deploy this model and start earning money today!
trungtienluong
/
experiments_22c_1t6
like
0
peft
safetensors
generated_from_trainer
vilm/vinallama-7b-chat
adapter
llama2
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
experiments
This model is a fine-tuned version of
vilm/vinallama-7b-chat
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2875
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.2219
1.0
1
0.2899
0.0755
1.33
2
0.2873
0.1392
2.0
3
0.2835
0.0996
2.67
4
0.2866
0.0553
3.0
5
0.2875
Framework versions
PEFT 0.11.1
Transformers 4.36.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.15.2
