gpt-m-multi-var – AI Model by augustocsc | AlphaNeural AI

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augustocsc/
gpt-m-multi-var

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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gpt-m-multi-var

This model is a fine-tuned version of augustocsc/gpt-m on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0023

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 5000

Training results

Training Loss	Epoch	Step	Validation Loss
0.0053	0.55	500	0.0030
0.0034	1.1	1000	0.0029
0.0027	1.65	1500	0.0034
0.0027	2.2	2000	0.0026
0.0027	2.75	2500	0.0024
0.0027	3.3	3000	0.0024
0.0026	3.85	3500	0.0023
0.0024	4.4	4000	0.0024
0.0024	4.95	4500	0.0023
0.0025	5.5	5000	0.0023

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2