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AdnanRiaz107/
CodeLLAMA3-8BI-APPS

Name: CodeLLAMA3-8BI-APPS
Rating: 2.5 (14 reviews)

peft

safetensors

llama

meta-llama/Meta-Llama-3-8B-Instruct

adapter

other

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LLAMA3-8BI-APPS

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1490

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: 5e-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
0.9027	0.1	100	0.9320
0.8632	0.2	200	0.9143
0.8572	0.3	300	1.0150
0.937	0.4	400	1.0545
1.0336	0.5	500	1.1029
1.0056	0.6	600	1.1267
1.0125	0.7	700	1.1307
1.028	0.8	800	1.1398
1.0692	0.9	900	1.1482
1.0361	1.0	1000	1.1490

Framework versions

PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

AdnanRiaz107/CodeLLAMA3-8BI-APPS

LLAMA3-8BI-APPS

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AdnanRiaz107/
CodeLLAMA3-8BI-APPS