gpt-neo-125M-finetuned-seinfeld – AI Model by sdeg | AlphaNeural AI

You can deploy this model and start earning money today!

sdeg/
gpt-neo-125M-finetuned-seinfeld

like

0

text-generation

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

gpt-neo-125M-finetuned-seinfeld

This model is a fine-tuned version of EleutherAI/gpt-neo-125M on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.1742

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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.5154	0.99	26	3.4073
3.3109	1.99	52	3.2356
3.1383	2.99	78	3.1584
3.0213	3.99	104	3.1206
2.9253	4.99	130	3.1032
2.8361	5.99	156	3.0963
2.7517	6.99	182	3.1016
2.6606	7.99	208	3.1131
2.5651	8.99	234	3.1442
2.4641	9.99	260	3.1742

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2