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CodeLlama-7B-Instruct-AWQ-FaVe-rank32-1epochs – AI Model by Ferdi | AlphaNeural AI
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Ferdi
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CodeLlama-7B-Instruct-AWQ-FaVe-rank32-1epochs
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peft
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sft
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TheBloke/CodeLlama-7B-Instruct-AWQ
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llama2
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CodeLlama-7B-Instruct-AWQ-FaVe-rank32-1epochs
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: 0.5255
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: 0.001
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.2685
10
0.9530
1.3945
0.5369
20
0.6891
1.3945
0.8054
30
0.5255
Framework versions
PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
