Meta-Llama-3-8B-Instruct-Generator-logging – AI Model by NanQiangHF | AlphaNeural AI

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NanQiangHF/
Meta-Llama-3-8B-Instruct-Generator-logging

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

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Meta-Llama-3-8B-Instruct-Generator-logging

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

Loss: 8.7282

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: 42
gradient_accumulation_steps: 32
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
8.8053	0.3048	100	8.7435
8.7302	0.6095	200	8.7357
8.7245	0.9143	300	8.7328
8.7318	1.2190	400	8.7317
8.7181	1.5238	500	8.7304
8.7227	1.8286	600	8.7295
8.724	2.1333	700	8.7291
8.7203	2.4381	800	8.7286
8.7167	2.7429	900	8.7282

Framework versions

PEFT 0.10.0
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.14.7
Tokenizers 0.19.1