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LehighMkt/
stars-to-meaning-llama3-cls

Name: stars-to-meaning-llama3-cls
Availability: InStock

meta-llama/Llama-3.3-70B-Instruct

llama3.3

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stars-to-meaning-llama3-cls

This model is a fine-tuned version of meta-llama/Llama-3.3-70B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5566

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: 2e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.8001	0.2049	100	0.7525
0.6873	0.4098	200	0.6537
0.6071	0.6148	300	0.6299
0.5100	0.8197	400	0.6008
0.4648	1.0246	500	0.6176
0.5017	1.2295	600	0.6051
0.5145	1.4344	700	0.5844
0.5717	1.6393	800	0.5872
0.4763	1.8443	900	0.5707
0.4188	2.0492	1000	0.6069
0.4265	2.2541	1100	0.5627
0.4666	2.4590	1200	0.5615
0.3887	2.6639	1300	0.5776
0.3586	2.8689	1400	0.5601
0.4651	3.0	1464	0.5566

Framework versions

PEFT 0.19.1
Transformers 5.9.0
Pytorch 2.12.0+cu130
Datasets 4.8.5
Tokenizers 0.22.2

LehighMkt/stars-to-meaning-llama3-cls

stars-to-meaning-llama3-cls

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

LehighMkt/
stars-to-meaning-llama3-cls