gpt2-finetuned-brookstraining – AI Model by sgolkar | AlphaNeural AI

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sgolkar/
gpt2-finetuned-brookstraining

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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gpt2-finetuned-brookstraining

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 4.3233

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	201	3.7473
No log	2.0	402	3.7192
3.9557	3.0	603	3.7303
3.9557	4.0	804	3.7354
3.4723	5.0	1005	3.7725
3.4723	6.0	1206	3.7934
3.4723	7.0	1407	3.8325
3.1092	8.0	1608	3.8907
3.1092	9.0	1809	3.9566
2.8224	10.0	2010	3.9908
2.8224	11.0	2211	4.0487
2.8224	12.0	2412	4.0744
2.5733	13.0	2613	4.1212
2.5733	14.0	2814	4.1872
2.3879	15.0	3015	4.2208
2.3879	16.0	3216	4.2358
2.3879	17.0	3417	4.2799
2.2721	18.0	3618	4.3077
2.2721	19.0	3819	4.3217
2.2043	20.0	4020	4.3233

Framework versions

Transformers 4.27.4
Pytorch 1.13.1
Datasets 2.11.0
Tokenizers 0.11.0