gptneo-txt2ARXMLv1.1 – AI Model by AhmedTaha012 | AlphaNeural AI

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AhmedTaha012/
gptneo-txt2ARXMLv1.1

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text-generation

generated_from_trainer

autotrain_compatible

endpoints_compatible

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gptneo-txt2ARXMLv1.1

This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3422

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.8106	0.99	45	0.8572
0.823	1.98	90	0.7944
0.783	3.0	136	0.7406
0.6243	3.99	181	0.6961
0.6158	4.98	226	0.6422
0.6009	5.99	272	0.5747
0.4856	6.99	317	0.5171
0.4512	8.0	363	0.4585
0.3926	8.99	408	0.3999
0.2923	9.92	450	0.3422

Framework versions

Transformers 4.27.4
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2