tulio-gpt-neo – AI Model by jorgeortizfuentes | AlphaNeural AI

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tulio-gpt-neo

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text-generation

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autotrain_compatible

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tulio-gpt-neo

This model is a fine-tuned version of EleutherAI/gpt-neo-2.7B on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6494
Accuracy: 0.6498

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: 5e-05
train_batch_size: 1
eval_batch_size: 8
seed: 13
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 4
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.0707	0.06	2000	1.8760	0.6169
2.0158	0.12	4000	1.8242	0.6244
1.9811	0.17	6000	1.7930	0.6289
1.9313	0.23	8000	1.7695	0.6320
1.9437	0.29	10000	1.7510	0.6349
1.9157	0.35	12000	1.7363	0.6371
1.9071	0.41	14000	1.7227	0.6388
1.871	0.47	16000	1.7100	0.6409
1.8679	0.52	18000	1.7012	0.6419
1.848	0.58	20000	1.6904	0.6440
1.8353	0.64	22000	1.6836	0.6449
1.8603	0.7	24000	1.6768	0.6460
1.844	0.76	26000	1.6699	0.6468
1.8396	0.81	28000	1.6699	0.6464
1.8095	0.87	30000	1.6592	0.6483
1.8149	0.93	32000	1.6553	0.6488
1.8098	0.99	34000	1.6494	0.6498

Framework versions

Transformers 4.26.0
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2