starbot-transformers – AI Model by wenjalan | AlphaNeural AI

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wenjalan/
starbot-transformers

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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starbot-transformers

This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.4079

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: 0.005
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
3.3942	1.0	2992	3.3385
3.2566	2.0	5984	3.2760
3.4112	3.0	8976	3.4710
3.4887	4.0	11968	3.5264
3.4856	5.0	14960	3.5181
3.4359	6.0	17952	3.5079
3.4115	7.0	20944	3.4954
3.3657	8.0	23936	3.4482
3.3018	9.0	26928	3.4207
3.2435	10.0	29920	3.4079

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu117
Datasets 2.7.1
Tokenizers 0.13.2