Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
vicuna-test-sft-lora – AI Model by justinwangx | AlphaNeural AI
You can deploy this model and start earning money today!
justinwangx
/
vicuna-test-sft-lora
like
0
transformers
tensorboard
safetensors
llama
text-generation
generated_from_trainer
conversational
autotrain_compatible
text-generation-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
vicuna-test-sft-lora
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.9342
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: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 128
total_train_batch_size: 2048
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0
0
1.8516
Framework versions
Transformers 4.35.0
Pytorch 2.1.0a0+32f93b1
Datasets 2.14.6
Tokenizers 0.14.1
