results_llama2_7b_myx_ver2 – AI Model by renadod | AlphaNeural AI

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results_llama2_7b_myx_ver2

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meta-llama/Llama-2-7b-hf

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results_llama2_7b_myx_ver2

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1711

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: 1
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
1.1723	0.0051	50	1.2000
1.0338	0.0102	100	1.1912
1.444	0.0152	150	1.1942
1.293	0.0203	200	1.1880
1.101	0.0254	250	1.1811
1.2164	0.0305	300	1.1800
1.0825	0.0355	350	1.1754
1.191	0.0406	400	1.1733
1.4014	0.0457	450	1.1715
1.3946	0.0508	500	1.1711

Framework versions

PEFT 0.15.1
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0