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Acadys/
PointCon-Vigogne13B

Name: PointCon-Vigogne13B
Availability: InStock

safetensors

generated_from_trainer

bofenghuang/vigogne-2-13b-instruct

finetune

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PointCon-Vigogne-13B-LoRA

This model is a fine-tuned version of bofenghuang/vigogne-2-13b-instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.8656

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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.0885	0.1	30	2.0357
2.0024	0.19	60	1.9733
1.9995	0.29	90	1.9406
1.9752	0.38	120	1.9285
1.9235	0.48	150	1.9060
1.9345	0.57	180	1.8924
1.8576	0.67	210	1.8818
1.8693	0.76	240	1.8734
1.8686	0.86	270	1.8695
1.8814	0.95	300	1.8656

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Acadys/PointCon-Vigogne13B

PointCon-Vigogne-13B-LoRA

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Acadys/
PointCon-Vigogne13B