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KaQyn/
peft-lora-CodeLlama-13b-flutter-copilot

Name: peft-lora-CodeLlama-13b-flutter-copilot
Availability: InStock

peft

safetensors

generated_from_trainer

codellama/CodeLlama-13b-Instruct-hf

adapter

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peft-lora-CodeLlama-13b-flutter-copilot

This model is a fine-tuned version of codellama/CodeLlama-13b-Instruct-hf on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3620

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: 0.0003
train_batch_size: 4
eval_batch_size: 4
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: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 2000

Training results

Training Loss	Epoch	Step	Validation Loss
0.7824	0.05	100	0.4186
0.3055	0.1	200	0.4164
0.4455	0.15	300	0.4134
0.3148	0.2	400	0.3762
0.2942	0.25	500	0.3780
0.8817	0.3	600	0.3760
0.4958	0.35	700	0.3738
0.4388	0.4	800	0.3710
0.3605	0.45	900	0.3698
0.2862	0.5	1000	0.3673
3.4798	0.55	1100	0.3687
3.3077	0.6	1200	0.3703
0.4847	0.65	1300	0.3666
0.3593	0.7	1400	0.3662
0.5983	0.75	1500	0.3654
0.6138	0.8	1600	0.3638
0.403	0.85	1700	0.3635
0.4199	0.9	1800	0.3632
0.3526	0.95	1900	0.3621
0.492	1.0	2000	0.3620

Framework versions

PEFT 0.10.1.dev0
Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

KaQyn/peft-lora-CodeLlama-13b-flutter-copilot

peft-lora-CodeLlama-13b-flutter-copilot

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

KaQyn/
peft-lora-CodeLlama-13b-flutter-copilot