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gptneo-txt2ARXMLv1.4 – AI Model by sarahh23 | AlphaNeural AI
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sarahh23
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gptneo-txt2ARXMLv1.4
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transformers
pytorch
gpt_neo
text-generation
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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gptneo-txt2ARXMLv1.4
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: 0.6133
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
distributed_type: multi-GPU
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
2.8955
0.98
24
2.7129
1.3737
1.97
48
1.3135
0.8242
2.99
73
0.8354
0.66
3.98
97
0.6753
0.6143
4.92
120
0.6133
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
