gptneo-txt2ARXMLv1.6_3000 – AI Model by sarahh23 | AlphaNeural AI

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sarahh23/
gptneo-txt2ARXMLv1.6_3000

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text-generation

generated_from_trainer

autotrain_compatible

endpoints_compatible

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gptneo-txt2ARXMLv1.6_3000

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: 0.1562

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: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.1777	0.99	59	1.1377
0.6024	1.99	119	0.6514
0.4513	2.99	179	0.5405
0.4204	3.99	239	0.4539
0.3151	4.99	299	0.4075
0.2056	6.0	359	0.3154
0.1129	7.0	419	0.2234
0.0871	8.0	479	0.1742
0.0764	8.99	538	0.1575
0.0548	9.85	590	0.1562

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3