fine-tune-llama-3.1 – AI Model by kshitij1188 | AlphaNeural AI

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fine-tune-llama-3.1

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meta-llama/Llama-3.1-8B

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fine-tune-llama-3.1

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

Loss: 1.2970

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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.01
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0244	10	1.3896
No log	0.0487	20	1.3412
1.3817	0.0731	30	1.3219
1.3817	0.0975	40	1.3223
1.3009	0.1219	50	1.3352
1.3009	0.1462	60	1.3165
1.3009	0.1706	70	1.3069
1.2783	0.1950	80	1.3015
1.2783	0.2193	90	1.2987
1.2929	0.2437	100	1.2970

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.0.0+nv23.05
Datasets 2.15.0
Tokenizers 0.19.1