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Kota123/
ft-raft-lora

Name: ft-raft-lora
Availability: InStock

generated_from_trainer

generator

meta-llama/Llama-3.1-8B-Instruct

adapter

llama3.1

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ft-raft-lora

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.1402

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: 8
eval_batch_size: 8
seed: 1399
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
1.8153	0.8696	20	1.6376
1.3735	1.7391	40	1.1018
0.7809	2.6087	60	0.4950
0.3055	3.4783	80	0.2025
0.1425	4.3478	100	0.1491
0.105	5.2174	120	0.1422
0.0755	6.0870	140	0.1377
0.0602	6.9565	160	0.1402

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Kota123/ft-raft-lora

ft-raft-lora

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Kota123/
ft-raft-lora