Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
CodeLlama-7B-Instruct-AWQ-FaVe-rank64-2epochs-v2 – AI Model by Ferdi | AlphaNeural AI
You can deploy this model and start earning money today!
Ferdi
/
CodeLlama-7B-Instruct-AWQ-FaVe-rank64-2epochs-v2
like
0
peft
safetensors
trl
sft
generated_from_trainer
TheBloke/CodeLlama-7B-Instruct-AWQ
adapter
llama2
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
CodeLlama-7B-Instruct-AWQ-FaVe-rank64-2epochs-v2
This model is a fine-tuned version of
TheBloke/CodeLlama-7B-Instruct-AWQ
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3887
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: 0.0005
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.2685
10
1.0714
1.4428
0.5369
20
0.6101
1.4428
0.8054
30
0.5003
0.4924
1.0738
40
0.4773
0.4924
1.3423
50
0.4364
0.3846
1.6107
60
0.4030
0.3846
1.8792
70
0.3887
Framework versions
PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
