gpt2-reporter – AI Model by theta | AlphaNeural AI

You can deploy this model and start earning money today!

theta/
gpt2-reporter

like

0

text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

Views

No views yet

gpt2-reporter

This model is a fine-tuned version of theta/gpt2-reporter on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.4221

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
2.3859	0.04	400	2.4603
2.3069	0.08	800	2.4777
2.3114	0.13	1200	2.4806
2.3152	0.17	1600	2.4774
2.3362	0.21	2000	2.4760
2.3354	0.25	2400	2.4728
2.344	0.3	2800	2.4685
2.366	0.34	3200	2.4632
2.3632	0.38	3600	2.4636
2.3704	0.42	4000	2.4602
2.3791	0.47	4400	2.4552
2.3773	0.51	4800	2.4529
2.391	0.55	5200	2.4475
2.4486	0.59	5600	2.4379
2.468	0.64	6000	2.4346
2.4602	0.68	6400	2.4323
2.4643	0.72	6800	2.4301
2.4634	0.76	7200	2.4289
2.4632	0.81	7600	2.4266
2.4534	0.85	8000	2.4250
2.4528	0.89	8400	2.4238
2.4618	0.93	8800	2.4222
2.4519	0.98	9200	2.4221

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Tokenizers 0.13.2