gptq_small – AI Model by stephen-steckler | AlphaNeural AI

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stephen-steckler/
gptq_small

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text-generation

generated_from_trainer

TheBloke/Llama-2-7B-GPTQ

autotrain_compatible

endpoints_compatible

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gptq-small-nids-out

This model is a fine-tuned version of TheBloke/Llama-2-7B-GPTQ on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0027

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: 1.7e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 4
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.0028	1.0	371	0.0027

Framework versions

Transformers 4.34.1
Pytorch 2.0.1+cu117
Datasets 2.14.6
Tokenizers 0.14.1