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EvolCodeLlama-3.1-8B-Instruct – AI Model by yuvraj17 | AlphaNeural AI
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EvolCodeLlama-3.1-8B-Instruct
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llama
meta-llama/Llama-3.1-8B-Instruct
finetune
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EvolCodeLlama-3.1-8B-Instruct
This model is a fine-tuned version of
meta-llama/Meta-Llama-3.1-8B-Instruct
using QLoRA (4-bit precision) on the
mlabonne/Evol-Instruct-Python-1k
dataset. It achieves the following results on the evaluation set:
Loss: 0.4057
Training:
It was trained on an
A40
for more than 1 hour using Axolotl.
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0002
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 3
The lose curves are as:
image/png
image/png
Framework versions
PEFT 0.12.0
Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
