Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
Mistral-7B-v0.1-VIGGO-qlora – AI Model by asprenger | AlphaNeural AI
You can deploy this model and start earning money today!
asprenger
/
Mistral-7B-v0.1-VIGGO-qlora
like
0
peft
tensorboard
safetensors
trl
sft
generated_from_trainer
generator
mistralai/Mistral-7B-v0.1
adapter
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Mistral-7B-v0.1-VIGGO-qlora
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 0.3971
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.3989
0.99
32
0.4004
0.3353
1.98
64
0.3971
Framework versions
PEFT 0.10.0
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.2
